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Optimal renewable energy source (RES) selection needs a strategic decision for reducing environmental pollutions, use of conventional resources, and improving economic development. In the process of RESs evaluation, several aspects like environmental, economic, social, and technical requirements play an important role. In addition, diverse factors affect the appropriate RES selection problem which adheres to uncertain and imprecise data. Thus, this selection process can be considered as a complex uncertain multi-criteria decision making (MCDM) problem. This study aims to introduce a novel integrated methodology based on Step-wise Weight Assessment Ratio Analysis (SWARA) and Combined Compromise Solution (CoCoSo) methods within single-valued neutrosophic sets (SVNSs) context, wherein the decision-makers and criteria weights are completely unknown. In the proposed approach, the criteria weights are determined by the SWARA method, and the most suitable RES alternative is determined by an improved CoCoSo method under the SVN context. Further, an illustrative case study of RES selection is considered to demonstrate the thorough execution process of the proposed method. Moreover, a comparison with existing methods is discussed to analyze the validity of the obtained result. This study performs sensitivity analysis with a various set of criteria weights to reveal the robustness of the developed approach. The strength of the proposed method is its practical applicability and ability to provide solutions under uncertain, imperfect, indeterminate, and inconsistent information.
Pratibha Rani; Jabir Ali; Raghunathan Krishankumar; Arunodaya Mishra; Fausto Cavallaro; Kattur Ravichandran. An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem. Energies 2021, 14, 4594 .
AMA StylePratibha Rani, Jabir Ali, Raghunathan Krishankumar, Arunodaya Mishra, Fausto Cavallaro, Kattur Ravichandran. An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem. Energies. 2021; 14 (15):4594.
Chicago/Turabian StylePratibha Rani; Jabir Ali; Raghunathan Krishankumar; Arunodaya Mishra; Fausto Cavallaro; Kattur Ravichandran. 2021. "An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem." Energies 14, no. 15: 4594.
At present, there is an increase in the capacity of data generated and stored in the medical area. Thus, for the efficient handling of these extensive data, the compression methods need to be re-explored by considering the algorithm’s complexity. To reduce the redundancy of the contents of the image, thus increasing the ability to store or transfer information in optimal form, an image processing approach needs to be considered. So, in this study, two compression techniques, namely lossless compression and lossy compression, were applied for image compression, which preserves the image quality. Moreover, some enhancing techniques to increase the quality of a compressed image were employed. These methods were investigated, and several comparison results are demonstrated. Finally, the performance metrics were extracted and analyzed based on state-of-the-art methods. PSNR, MSE, and SSIM are three performance metrics that were used for the sample medical images. Detailed analysis of the measurement metrics demonstrates better efficiency than the other image processing techniques. This study helps to better understand these strategies and assists researchers in selecting a more appropriate technique for a given use case.
Yaghoub Pourasad; Fausto Cavallaro. A Novel Image Processing Approach to Enhancement and Compression of X-ray Images. International Journal of Environmental Research and Public Health 2021, 18, 6724 .
AMA StyleYaghoub Pourasad, Fausto Cavallaro. A Novel Image Processing Approach to Enhancement and Compression of X-ray Images. International Journal of Environmental Research and Public Health. 2021; 18 (13):6724.
Chicago/Turabian StyleYaghoub Pourasad; Fausto Cavallaro. 2021. "A Novel Image Processing Approach to Enhancement and Compression of X-ray Images." International Journal of Environmental Research and Public Health 18, no. 13: 6724.
Customers’ pressure, social responsibility, and government regulations have motivated the enterprises to consider the reverse logistics (RL) in their operations. Recently, companies frequently outsource their RL practices to third-party reverse logistics providers (3PRLPs) to concentrate on their primary concern and diminish costs. However, to select the suitable 3PRLP candidate requires a multi-criteria decision making (MCDM) process involving uncertainty owing to the presence of many associated aspects. In order to choose the most appropriate sustainable 3PRLP (S3PRLP), we introduce a hybrid approach based on the classical Combined Compromise Solution (CoCoSo) method and propose a discrimination measure within the context of hesitant fuzzy sets (HFSs). This approach offers a new process based on the discrimination measure for evaluating the criteria weights. The efficiency and practicability of the present approach are numerically demonstrated by solving an illustrative case study of S3PRLPs selection under a hesitant fuzzy environment. Moreover, sensitivity and comparative studies are presented to highlight the robustness and strength of the introduced methodology. The result of this work concludes that the introduced methodology can recommend a more feasible performance when facing with determinate and inconsistent knowledge and qualitative data.
Arunodaya Raj Mishra; Pratibha Rani; R. Krishankumar; Edmundas Kazimieras Zavadskas; Fausto Cavallaro; K. S. Ravichandran. A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers. Sustainability 2021, 13, 2064 .
AMA StyleArunodaya Raj Mishra, Pratibha Rani, R. Krishankumar, Edmundas Kazimieras Zavadskas, Fausto Cavallaro, K. S. Ravichandran. A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers. Sustainability. 2021; 13 (4):2064.
Chicago/Turabian StyleArunodaya Raj Mishra; Pratibha Rani; R. Krishankumar; Edmundas Kazimieras Zavadskas; Fausto Cavallaro; K. S. Ravichandran. 2021. "A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers." Sustainability 13, no. 4: 2064.
Path planning can be perceived as a combination of searching and executing the optimal path between the start and destination locations. Deliberative planning capabilities are essential for the motion of autonomous unmanned vehicles in real-world scenarios. There is a challenge in handling the uncertainty concerning the obstacles in a dynamic scenario, thus requiring an intelligent, robust algorithm, with the minimum computational overhead. In this work, a fuzzy gain-based dynamic ant colony optimization (FGDACO) for dynamic path planning is proposed to effectively plan collision-free and smooth paths, with feasible path length and the minimum time. The ant colony system’s pheromone update mechanism was enhanced with a sigmoid gain function for effective exploitation during path planning. Collision avoidance was achieved through the proposed fuzzy logic control. The results were validated using occupancy grids of variable size, and the results were compared against existing methods concerning performance metrics, namely, time and length. The consistency of the algorithm was also analyzed, and the results were statistically verified.
Viswanathan Sangeetha; Raghunathan Krishankumar; Kattur Soundarapandian Ravichandran; Fausto Cavallaro; Samarjit Kar; Dragan Pamucar; Abbas Mardani. A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments. Symmetry 2021, 13, 280 .
AMA StyleViswanathan Sangeetha, Raghunathan Krishankumar, Kattur Soundarapandian Ravichandran, Fausto Cavallaro, Samarjit Kar, Dragan Pamucar, Abbas Mardani. A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments. Symmetry. 2021; 13 (2):280.
Chicago/Turabian StyleViswanathan Sangeetha; Raghunathan Krishankumar; Kattur Soundarapandian Ravichandran; Fausto Cavallaro; Samarjit Kar; Dragan Pamucar; Abbas Mardani. 2021. "A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments." Symmetry 13, no. 2: 280.
Tourism is an economic activity with great contribution for the development of many countries. To develop rural areas, tourism is especially important and need to be improved in these areas. The Government of Brčko District of Bosnia and Herzegovina has decided to have tourism improvement as one of main objectives in their development strategy focusing on better conditions for development of tourism. Investments in tourism should be applied to the entire area of the Brčko District. Since Brčko District mainly consists of rural areas, it is necessary to invest in rural tourism. The first step of this study was to determine the tourist potential of rural areas. The determination of rural tourist potential in Brčko District was carried out with the assistance of the Brčko District Government. For this purpose, the method of expert decision-making was used, and three experts were selected who evaluated six rural settlements. To obtain results based on expert evaluation, two multi-criteria methods were used: the Full Consistency Method (FUCOM) for determining the importance of criteria and the fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (MARCOS) method to rank rural settlements in terms of their tourism potential. The results showed that the settlement of Bijela has the best rural tourist potential, while the settlement of Grbavica has the least potential. The results obtained by applying this model showed how rural tourism in Brčko District can be improved. The research model for testing the tourism potential has shown good results and can be applied in other branches of tourism with some adaptation to certain branches of tourism.
Adis Puška; Dragan Pamucar; Ilija Stojanović; Fausto Cavallaro; Arturas Kaklauskas; Abbas Mardani. Examination of the Sustainable Rural Tourism Potential of the Brčko District of Bosnia and Herzegovina Using a Fuzzy Approach Based on Group Decision Making. Sustainability 2021, 13, 583 .
AMA StyleAdis Puška, Dragan Pamucar, Ilija Stojanović, Fausto Cavallaro, Arturas Kaklauskas, Abbas Mardani. Examination of the Sustainable Rural Tourism Potential of the Brčko District of Bosnia and Herzegovina Using a Fuzzy Approach Based on Group Decision Making. Sustainability. 2021; 13 (2):583.
Chicago/Turabian StyleAdis Puška; Dragan Pamucar; Ilija Stojanović; Fausto Cavallaro; Arturas Kaklauskas; Abbas Mardani. 2021. "Examination of the Sustainable Rural Tourism Potential of the Brčko District of Bosnia and Herzegovina Using a Fuzzy Approach Based on Group Decision Making." Sustainability 13, no. 2: 583.
The social awareness and acceptance of new energy technologies are the key factors of their commercialization in Europe. The decision making in energy sector also requires integration of social preferences. In the context implementation of circular economy and moving towards carbon free economy target in 2050, all carbon free technologies require attention of decision makers including new nuclear technologies. The cutting-edge technologies, such as big data, have the potential to leverage the adoption of circular and carbon free economy concepts by the society. Therefore, the big data can play a major role in terms of acting as a facilitator for gaining the desired information for decision making in energy sector. In this paper, the big data was used for assessment of social acceptance of nuclear fusion. The diverse and representative sample from the Czech Republic (N = 1026, aged 15–95 years, 48.80% women, 18.50% with higher education) was employed to show the dynamics of the formation of public support in a country effectively unaware of the nuclear fusion (NF) (the total pre-survey awareness was 16.6%). The analysis of presentation on NF in Czech mass media concluded that similarly to other European Union countries, the presentation fragmented, insufficient, technical, aimed at people interested in technology with effectively no public discussion on the topic. When briefed with pros and cons of NF, three quarters of the respondents developed an idea on their support of NF in general and in Europe with the level of support reaching one third of the sample. We analyze the relation of NF support using a set of ordinal multinomial regression analyses with spline corrections of ordinal predictors to the four groups of factors: self-claimed awareness and knowledge of NF, sources of information including education, pros and cons of NF, and psychological and value aspects. We show that more information on NF positively influenced the support. Internet news were (negatively) and printed newspapers and magazines were (positively) related to support. The NF being and unlimited source of energy (positively) and using radioactive material and competing for renewables money (negatively) were related to support. Our findings have clear implications for public engagement and communication efforts on NF projects. We suggest that in order to change the level of acceptance for NF more communication and media presentation is needed. We present the ideas on how to frame the communication. Our results are in accord with similar studies from other European countries and therefore our outcomes might find practical applicability there.
Inna Čábelková; Wadim Strielkowski; Dalia Streimikiene; Fausto Cavallaro; Justas Streimikis. The social acceptance of nuclear fusion for decision making towards carbon free circular economy: Evidence from Czech Republic. Technological Forecasting and Social Change 2020, 163, 120477 .
AMA StyleInna Čábelková, Wadim Strielkowski, Dalia Streimikiene, Fausto Cavallaro, Justas Streimikis. The social acceptance of nuclear fusion for decision making towards carbon free circular economy: Evidence from Czech Republic. Technological Forecasting and Social Change. 2020; 163 ():120477.
Chicago/Turabian StyleInna Čábelková; Wadim Strielkowski; Dalia Streimikiene; Fausto Cavallaro; Justas Streimikis. 2020. "The social acceptance of nuclear fusion for decision making towards carbon free circular economy: Evidence from Czech Republic." Technological Forecasting and Social Change 163, no. : 120477.
The main purpose of this paper is to develop an efficient multi-stage methodology to predict carbon dioxide emissions based on two important variables including the energy consumption and economic growth using the clustering, prediction machine learning techniques, and dimensionality reduction. To do so, we use the self-organizing map clustering algorithm to cluster the data and the adaptive neuro-fuzzy inference system and artificial neural network to construct the prediction models in each cluster of the self-organizing map to predict carbon dioxide emissions considering a set of input parameters including economic growth and energy consumption in Group 20 nations. Furthermore, we use the singular value decomposition for dimensionality reduction and missing values’ prediction in the dataset. The results of the analysis of a real-world dataset found that the developed multi-stage approach was capable of predicting the carbon dioxide emissions on two indicators. To validate the proposed method, the results are compared with other existing methods. The outcomes demonstrate that the adaptive neuro-fuzzy inference system and artificial neural network techniques combined with the self-organizing map and singular value decomposition technique provide 0.065 accuracy in terms of the mean average error. In addition, when comparing singular value decomposition-self-organizing map-adaptive neuro-fuzzy inference system method with the singular value decomposition-self-organizing map-adaptive-artificial neural network method, the singular value decomposition-self-organizing map-adaptive neuro-fuzzy inference provides with 0.104 accuracy in predicting CO2 emissions. Moreover, the multiple linear regression provides the worst accuracy (0.522) results compared with the artificial neural network and adaptive neuro-fuzzy inference system techniques. The analysis regarding the relationship between economic development, carbon dioxide emissions, and the energy consumption is extremely vital from the energy and economic policy-making aspects in Group 20 countries given that the primary focus of this group has been the governance of the global economy.
Abbas Mardani; Huchang Liao; Mehrbakhsh Nilashi; Melfi Alrasheedi; Fausto Cavallaro. A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques. Journal of Cleaner Production 2020, 275, 122942 .
AMA StyleAbbas Mardani, Huchang Liao, Mehrbakhsh Nilashi, Melfi Alrasheedi, Fausto Cavallaro. A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques. Journal of Cleaner Production. 2020; 275 ():122942.
Chicago/Turabian StyleAbbas Mardani; Huchang Liao; Mehrbakhsh Nilashi; Melfi Alrasheedi; Fausto Cavallaro. 2020. "A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques." Journal of Cleaner Production 275, no. : 122942.
The selection of sustainable supplier is an extremely important for sustainable supply chain management (SSCM). The assessment process of sustainable supplier selection is a complicated task for decision experts due to involvement of several qualitative and quantitative criteria. As the uncertainty is commonly occurred in sustainable supplier selection problem and hesitant fuzzy set (HFS), an improvement of Fuzzy Set (FS), has been proved as one of the efficient and superior ways to express the uncertain information arisen in practical problems. The present study proposes a novel framework based on COPRAS (Complex Proportional Assessment) method and SWARA (Step-wise Weight Assessment Ratio Analysis) approach to evaluate and select the desirable sustainable supplier within the HFSs context. In the proposed method, an extended SWARA method is employed for determining the criteria weights based on experts’ preferences. Next, to illustrate the efficiency and practicability of the proposed methodology, an empirical case study of sustainable supplier selection problem is taken under Hesitant Fuzzy (HF) environment. Further, sensitivity analysis is performed to check the stability of the presented methodology. At last, a comparison with existing methods is conducted to verify the strength of the obtained result. The final outcomes confirm that the developed framework is more consistent and powerful than other existing approaches.
Pratibha Rani; Arunodaya Raj Mishra; Raghunathan KrishanKumar; Abbas Mardani; Fausto Cavallaro; Kattur Soundarapandian Ravichandran; Karthikeyan Balasubramanian. Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS). Symmetry 2020, 12, 1152 .
AMA StylePratibha Rani, Arunodaya Raj Mishra, Raghunathan KrishanKumar, Abbas Mardani, Fausto Cavallaro, Kattur Soundarapandian Ravichandran, Karthikeyan Balasubramanian. Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS). Symmetry. 2020; 12 (7):1152.
Chicago/Turabian StylePratibha Rani; Arunodaya Raj Mishra; Raghunathan KrishanKumar; Abbas Mardani; Fausto Cavallaro; Kattur Soundarapandian Ravichandran; Karthikeyan Balasubramanian. 2020. "Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)." Symmetry 12, no. 7: 1152.
The age of industrialization and modernization has increased energy demands globally. Solar energy has been recognized as an inexhaustible source of energy and has been applied for desalination and electricity generation. Among different non-conventional energy resources, Solar Energy (SE) is one of the main contributors to the global energy system. A photovoltaic system (PS) is applied to produce SE using photovoltaic cells. The selection of a solar panel includes many intricate factors involving both subjective and quantifiable parameters; therefore, it can be regarded as a complex Multi-Criteria Decision-Making (MCDM) problem. As the uncertainty commonly occurs in the selection of an ideal solar panel, the theory of Pythagorean fuzzy sets has been proven as one of the flexible and superior tools to deal with the uncertainty and ambiguity that arise in real-life applications. The aim of the study is to present an MCDM framework for solving the Solar Panel Selection (SPS) problem within the Pythagorean fuzzy (PF) environment. For this, first, a new integrated method is proposed based on the Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) approaches in the Pythagorean fuzzy sets (PFSs) context. In the proposed approach, subjective weights of the evaluation criteria are calculated by the SWARA method, and the preference order of alternatives is decided by the VIKOR method in the PF context. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. The computational procedure of the proposed methodology is established through a case study of the SPS problem under PF environment, which proves the applicability and efficiency of the proposed method. Furthermore, this study performs sensitivity analysis to reveal the stability of the developed framework. This analysis signifies that the solar panel option R4 constantly secures its highest ranking despite how the parameter values vary. In addition, a comparative study is discussed to analyze the validity of the obtained result. The results show that the proposed approach is more efficient and applicable with previously developed methods in the PFS environment.
Pratibha Rani; Arunodaya Raj Mishra; Abbas Mardani; Fausto Cavallaro; Dalia Štreimikienė; Syed Abdul Rehman Khan. Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection. Sustainability 2020, 12, 4278 .
AMA StylePratibha Rani, Arunodaya Raj Mishra, Abbas Mardani, Fausto Cavallaro, Dalia Štreimikienė, Syed Abdul Rehman Khan. Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection. Sustainability. 2020; 12 (10):4278.
Chicago/Turabian StylePratibha Rani; Arunodaya Raj Mishra; Abbas Mardani; Fausto Cavallaro; Dalia Štreimikienė; Syed Abdul Rehman Khan. 2020. "Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection." Sustainability 12, no. 10: 4278.
The energy production activity can generate negative effects on the environment which must be taken into account. The traditional assessment models of environmental sustainability are in many cases affected by uncertainty. Fuzzy-sets have evidenced to be able to deal very well with uncertainty. In this paper an index based on an intelligent fuzzy inference system is proposed to assess the impact on the environment of the most important electricity power production technologies.
Fausto Cavallaro. Development of a Index for Sustainable Energy Technologies Based on an Intelligent Fuzzy Expert System. Developments in Advanced Control and Intelligent Automation for Complex Systems 2020, 137 -143.
AMA StyleFausto Cavallaro. Development of a Index for Sustainable Energy Technologies Based on an Intelligent Fuzzy Expert System. Developments in Advanced Control and Intelligent Automation for Complex Systems. 2020; ():137-143.
Chicago/Turabian StyleFausto Cavallaro. 2020. "Development of a Index for Sustainable Energy Technologies Based on an Intelligent Fuzzy Expert System." Developments in Advanced Control and Intelligent Automation for Complex Systems , no. : 137-143.
In recent years, the assessment of desirable renewable energy alternative has been an extremely important concern that could change the environment and economic growth. To tackle the circumstances, some authors have paid attention to selecting the desirable renewable energy option by employing the decision-making assessment and linguistic term sets. With a fast-growing interest in multi-criteria group decision-making (MCGDM) problems, researchers are tirelessly working towards new techniques for better decision-making. Decision makers (DMs) generally rate alternatives linguistically with different probabilities occurring for each term. Previous studies on linguistic decision-making have either ignored this idea or have used an only a single value for representing the weight of the linguistic term. Since expression of the complete probability distribution is hard and implicit hesitation exists, representation of weights of the linguistic terms using a single value becomes imprecise and unreasonable. To avoid this challenge, an interval-valued probabilistic linguistic term set (IVPLTS) is used, which is a generalization of (probabilistic linguistic term set) PLTS. Inspired by the usefulness of IVPLTS concept, we develop a decision framework for rational decision making. Initially, some operational laws and axioms are presented. Further, a novel aggregation operator known as interval-valued probabilistic linguistic simple weighted geometry (IVPLSWG) is developed for aggregating DMs’ preferences. Also, criteria weights are determined using the newly developed interval-valued probabilistic linguistic standard variance (IVPLSV) approach and alternatives are ranked using the extended VIKOR (VlseKriterijumskaOptimizacijaKompromisnoResenje) method under IVPLTS environment. Finally, a numerical example of renewable energy assessment is demonstrated to show the practicality of the developed decision framework. Also, the strengths and weaknesses of the developed decision framework are illustrated by comparison with existing ones.
Raghunathan KrishanKumar; Arunodaya Raj Mishra; Kattur Soundarapandian Ravichandran; Xindong Peng; Edmundas Kazimieras Zavadskas; Fausto Cavallaro; Abbas Mardani. A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set. Energies 2020, 13, 986 .
AMA StyleRaghunathan KrishanKumar, Arunodaya Raj Mishra, Kattur Soundarapandian Ravichandran, Xindong Peng, Edmundas Kazimieras Zavadskas, Fausto Cavallaro, Abbas Mardani. A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set. Energies. 2020; 13 (4):986.
Chicago/Turabian StyleRaghunathan KrishanKumar; Arunodaya Raj Mishra; Kattur Soundarapandian Ravichandran; Xindong Peng; Edmundas Kazimieras Zavadskas; Fausto Cavallaro; Abbas Mardani. 2020. "A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set." Energies 13, no. 4: 986.
In recent years, the selection of appropriate renewable energy sources is an extremely significant issue that affects the environmental development and economic growth. To tackle the concern, various authors have concentrated on preferring desirable energy source(s) adopting decision-making approaches under different fuzzy sets methods. In this regard, in the present study, a new divergence measure is proposed for ranking and choosing the renewable energy sources in multi-criteria decision-making problems based on fuzzy TOPSIS, and it is compared to some existing methods. Then, a set of experts related to renewable energy sources is selected to evaluate possible alternatives amongst conflicting criteria. Moreover, the fuzzy decision matrix and criteria weights are measured using linguistic values that are transformed into fuzzy values. Furthermore, the weight of each energy source decision expert is evaluated by the proposed method. Next, the importance of criteria is computed by an extensive maximizing deviation method inspired by fuzzy divergence measure. Finally, the problem of choosing a renewable energy source is considered to show the thorough execution process of the introduced method. The proposed method’s strength lies in its capability of providing effective solutions where there is a shortage of quantitative information.
Pratibha Rani; Arunodaya Raj Mishra; Abbas Mardani; Fausto Cavallaro; Melfi Alrasheedi; Afaf Alrashidi. A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection. Journal of Cleaner Production 2020, 257, 120352 .
AMA StylePratibha Rani, Arunodaya Raj Mishra, Abbas Mardani, Fausto Cavallaro, Melfi Alrasheedi, Afaf Alrashidi. A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection. Journal of Cleaner Production. 2020; 257 ():120352.
Chicago/Turabian StylePratibha Rani; Arunodaya Raj Mishra; Abbas Mardani; Fausto Cavallaro; Melfi Alrasheedi; Afaf Alrashidi. 2020. "A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection." Journal of Cleaner Production 257, no. : 120352.
To stay competitive in a business environment, continuous performance evaluation based on the triple bottom line standard of sustainability is necessary. There is a gap in addressing the computational expense caused by increased decision units due to increasing the performance evaluation indices to more accuracy in the evaluation. We successfully addressed these two gaps through (1) using principal component analysis (PCA) to cut the number of evaluation indices, and (2) since PCA itself has the problem of merely using the data distribution without considering the domain-related knowledge, we utilized Analytic Hierarchy Process (AHP) to rank the indices through the expert’s domain-related knowledge. We propose an integrated approach for sustainability performance assessment in qualitative and quantitative perspectives. Fourteen insurance companies were evaluated using eight economic, three environmental, and four social indices. The indices were ranked by expert judgment though an analytical hierarchy process as subjective weighting, and then principal component analysis as objective weighting was used to reduce the number of indices. The obtained principal components were then used as variables in the data envelopment analysis model. So, subjective and objective evaluations were integrated. Finally, for validating the results, Spearman and Kendall’s Tau correlation tests were used. The results show that Dana, Razi, and Dey had the best sustainability performance.
Ramin Gharizadeh Beiragh; Reza Alizadeh; Saeid Shafiei Kaleibari; Fausto Cavallaro; Sarfaraz Zolfani; Romualdas Bausys; Abbas Mardani. An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies. Sustainability 2020, 12, 789 .
AMA StyleRamin Gharizadeh Beiragh, Reza Alizadeh, Saeid Shafiei Kaleibari, Fausto Cavallaro, Sarfaraz Zolfani, Romualdas Bausys, Abbas Mardani. An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies. Sustainability. 2020; 12 (3):789.
Chicago/Turabian StyleRamin Gharizadeh Beiragh; Reza Alizadeh; Saeid Shafiei Kaleibari; Fausto Cavallaro; Sarfaraz Zolfani; Romualdas Bausys; Abbas Mardani. 2020. "An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies." Sustainability 12, no. 3: 789.
Nowadays, integrated land management is generally governed by the principles of sustainability. Land use management usually is grounded in satellite image information. The detection and monitoring of areas of interest in satellite images is a difficult task. We propose a new methodology for the adaptive selection of edge detection algorithms using visual features of satellite images and the multi-criteria decision-making (MCDM) method. It is not trivial to select the most appropriate method for the chosen satellite images as there is no proper algorithm for all cases as it depends on many factors, like acquisition and content of the raster images, visual features of real-world images, and humans’ visual perception. The edge detection algorithms were ranked according to their suitability for the appropriate satellite images using the neutrosophic weighted aggregated sum product assessment (WASPAS) method. The results obtained using the created methodology were verified with results acquired in an alternative way—using the edge detection algorithms for specific images. This methodology facilitates the selection of a proper edge detector for the chosen image content.
Romualdas Bausys; Giruta Kazakeviciute-Januskeviciene; Fausto Cavallaro; Ana Usovaite. Algorithm Selection for Edge Detection in Satellite Images by Neutrosophic WASPAS Method. Sustainability 2020, 12, 548 .
AMA StyleRomualdas Bausys, Giruta Kazakeviciute-Januskeviciene, Fausto Cavallaro, Ana Usovaite. Algorithm Selection for Edge Detection in Satellite Images by Neutrosophic WASPAS Method. Sustainability. 2020; 12 (2):548.
Chicago/Turabian StyleRomualdas Bausys; Giruta Kazakeviciute-Januskeviciene; Fausto Cavallaro; Ana Usovaite. 2020. "Algorithm Selection for Edge Detection in Satellite Images by Neutrosophic WASPAS Method." Sustainability 12, no. 2: 548.
As an attractive generalization of the intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-ROFS) provides the decision makers (DMs) with a wide window for preference elicitation. Previous studies on q-ROFS indicate that there is an urge for a decision framework which can make use of the available information in a proper manner for making rational decisions. Motivated by the superiority of q-ROFS, in this paper, a new decision framework is proposed, which provides scientific methods for multi-attribute group decision-making (MAGDM). Initially, a programming model is developed for calculating weights of attributes with the help of partially known information. Later, another programming model is developed for determining the weights of DMs with the help of partially known information. Preferences from different DMs are aggregated rationally by using the weights of DMs and extending generalized Maclaurin symmetric mean (GMSM) operator to q-ROFS, which can properly capture the interrelationship among attributes. Further, complex proportional assessment (COPRAS) method is extended to q-ROFS for prioritization of objects by using attributes’ weight vector and aggregated preference matrix. The applicability of the proposed framework is demonstrated by using a renewable energy source prioritization problem from an Indian perspective. Finally, the superiorities and weaknesses of the framework are discussed in comparison with state-of-the-art methods.
R. Krishankumar; K. S. Ravichandran; Samarjit Kar; Fausto Cavallaro; Edmundas Kazimieras Zavadskas; Abbas Mardani. Scientific Decision Framework for Evaluation of Renewable Energy Sources under Q-Rung Orthopair Fuzzy Set with Partially Known Weight Information. Sustainability 2019, 11, 4202 .
AMA StyleR. Krishankumar, K. S. Ravichandran, Samarjit Kar, Fausto Cavallaro, Edmundas Kazimieras Zavadskas, Abbas Mardani. Scientific Decision Framework for Evaluation of Renewable Energy Sources under Q-Rung Orthopair Fuzzy Set with Partially Known Weight Information. Sustainability. 2019; 11 (15):4202.
Chicago/Turabian StyleR. Krishankumar; K. S. Ravichandran; Samarjit Kar; Fausto Cavallaro; Edmundas Kazimieras Zavadskas; Abbas Mardani. 2019. "Scientific Decision Framework for Evaluation of Renewable Energy Sources under Q-Rung Orthopair Fuzzy Set with Partially Known Weight Information." Sustainability 11, no. 15: 4202.
Currently, the European Union (EU) is focusing on a large-scale campaign dedicated to developing a competitive circular economy and expanding the single digital market. One of the main goals of this campaign is the implementation of the sustainability principles in the development and deployment cycle of the new generation technologies. This paper focuses on the fast-growing field of autonomous mobile robots and the harsh environment exploration problem. Currently, most state-of-the-art navigation methods are utilising the idea of evaluating candidate observation locations by combining different task-related criteria. However, these map building solutions are often designed for operating in near-perfect environments, neglecting such factors as the danger to the robot. In this paper, a new strategy that aims to address the safety and re-usability of the autonomous mobile agent by implementing the economic sustainability principles is proposed. A novel multi-criteria decision-making method of Weighted Aggregated Sum Product Assessment—Single-Valued Neutrosophic Sets, namely WASPAS-SVNS, and the weight selection method of Step-Wise Weights Assessment Ratio Analysis (SWARA) are applied to model a dynamic decision-making system. The experimental evaluation of the proposed strategy shows that increased survivability of the autonomous agent can be observed. Compared to the greedy baseline strategy, the proposed method forms the movement path which orients the autonomous agent away from dangerous obstacles.
Romualdas Bausys; Fausto Cavallaro; Rokas Semenas. Application of Sustainability Principles for Harsh Environment Exploration by Autonomous Robot. Sustainability 2019, 11, 2518 .
AMA StyleRomualdas Bausys, Fausto Cavallaro, Rokas Semenas. Application of Sustainability Principles for Harsh Environment Exploration by Autonomous Robot. Sustainability. 2019; 11 (9):2518.
Chicago/Turabian StyleRomualdas Bausys; Fausto Cavallaro; Rokas Semenas. 2019. "Application of Sustainability Principles for Harsh Environment Exploration by Autonomous Robot." Sustainability 11, no. 9: 2518.
Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies
Dragisa Stanujkic; Darjan Karabasevic; Edmundas Kazimieras Zavadskas; Florentin Smarandache; Fausto Cavallaro. An approach to determining customer satisfaction in traditional Serbian restaurants. Entrepreneurship and Sustainability Issues 2019, 6, 1127 -1138.
AMA StyleDragisa Stanujkic, Darjan Karabasevic, Edmundas Kazimieras Zavadskas, Florentin Smarandache, Fausto Cavallaro. An approach to determining customer satisfaction in traditional Serbian restaurants. Entrepreneurship and Sustainability Issues. 2019; 6 (3):1127-1138.
Chicago/Turabian StyleDragisa Stanujkic; Darjan Karabasevic; Edmundas Kazimieras Zavadskas; Florentin Smarandache; Fausto Cavallaro. 2019. "An approach to determining customer satisfaction in traditional Serbian restaurants." Entrepreneurship and Sustainability Issues 6, no. 3: 1127-1138.
Concentrated solar power (CSP) technology has shown considerable long-term growth with varying levels of peak development and stall phases over the years. More and more countries are finding CSP technology attractive for the production of electricity and other applications. CSP offers a variety of applications where solar power can be used appropriately, although the debate about which CSP technology has a better future perspective is still ongoing. This technology sector has seen a multitude of advancements and technological innovations. These improvements are primarily concerned with the design of the collectors and the related materials they are made from, the heat transfer processes, and the production and accumulation of energy. In order to assess these CSP technologies, in this paper we propose a fuzzy multi-criteria method. Then, Solar tower (ST), Parabolic solar trough (PST), Compact linear Fresnel reflector (CLFR), and Dish Stirling (DS) are evaluated using a modified intuitionistic fuzzy TOPSIS with a trigonometric entropy vector weight.
Fausto Cavallaro; Edmundas Kazimieras Zavadskas; Dalia Streimikiene; Abbas Mardani. Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights. Technological Forecasting and Social Change 2018, 140, 258 -270.
AMA StyleFausto Cavallaro, Edmundas Kazimieras Zavadskas, Dalia Streimikiene, Abbas Mardani. Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights. Technological Forecasting and Social Change. 2018; 140 ():258-270.
Chicago/Turabian StyleFausto Cavallaro; Edmundas Kazimieras Zavadskas; Dalia Streimikiene; Abbas Mardani. 2018. "Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights." Technological Forecasting and Social Change 140, no. : 258-270.
Over the past few centuries, the process of decision-making has become more complicated in different respects. Since the initial phase of Multiple Criteria Decision Making (MCDM) around fifty years ago, Multiple Attribute Decision Making (MADM) has continued developing over the years as a sub-concept of MCDM. Noticeably, the importance of the decision-making process is increasingly expanding to such an extent that it necessarily blends into the undeniable processes of MADM actual models. Novel methods with different perspectives have been introduced considering the dynamic MADM concepts of time and future in classical frameworks; however, they do not overcome challenges in practice. Recently, Prospective MADM (PMADM) as a specific approach has presented future-oriented models using already known approaches of MCDM, and it has innovative items which show barriers of classic model of MADM. However, PMADM practically needs more conceptual bases to illustrate and plan the future of real decision-making problems. The Multi-Aspect Criterion is a new concept in mapping the future of the PMADM outline. In this regard, two examples of sustainability will be analyzed, and different requirements and aspects associated with PMADM will be discussed in this study. This new approach can support the PMADM outline in more detail and deal with a decision-making structure that can be considered as novel to industry experts.
Sarfaraz Hashemkhani Zolfani; Edmundas Kazimieras Zavadskas; Payam Khazaelpour; Fausto Cavallaro. The Multi-Aspect Criterion in the PMADM Outline and Its Possible Application to Sustainability Assessment. Sustainability 2018, 10, 4451 .
AMA StyleSarfaraz Hashemkhani Zolfani, Edmundas Kazimieras Zavadskas, Payam Khazaelpour, Fausto Cavallaro. The Multi-Aspect Criterion in the PMADM Outline and Its Possible Application to Sustainability Assessment. Sustainability. 2018; 10 (12):4451.
Chicago/Turabian StyleSarfaraz Hashemkhani Zolfani; Edmundas Kazimieras Zavadskas; Payam Khazaelpour; Fausto Cavallaro. 2018. "The Multi-Aspect Criterion in the PMADM Outline and Its Possible Application to Sustainability Assessment." Sustainability 10, no. 12: 4451.
Understanding the nexus CO2 emissions and economic growth helps economies in formulating energy policies and developing energy resources in sustainable ways. Although during recent years, numerous of the previous studies have been very thoroughly investigated the nexus between economic growth and CO2 emissions, there is a lack of research regarding the qualitative systematic review and meta-analysis in these areas. The main purpose of this review paper is to present the comprehensive overview of the relationship between CO2 emissions and economic growth. In this regard, the Web of Science database has been chosen and a qualitative systematic and meta-analysis method which called “Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)” has been proposed. Therefore, a review of 175 published articles appearing in 55 scholarly international journals between 1995 and 2017 has been achieved to reach a broad review of the nexus between economic growth and CO2 emissions with other indicators. Consequently, the selected articles have been categorized by the author name, the year of publication, data duration, types of techniques, data analysis method, the name of indicators, country, scope (individual country and multi-countries), journals, results, and outcome in which they appeared. The results of this paper demonstrated that the nexus between CO2 emissions and economic growth gives reasons for policy options that have to reduce emissions by imposing limiting factors on economic growth as well. Given the fact that bidirectional causality exists, as far as economic growth increases or decreases, further CO2 emissions are stimulated in higher or lower levels and consequently, a potential reduction of the emissions should have an adverse influence on economic growth.
Abbas Mardani; Dalia Streimikiene; Fausto Cavallaro; Nanthakumar Loganathan; Masoumeh Khoshnoudi. Carbon dioxide (CO2) emissions and economic growth: A systematic review of two decades of research from 1995 to 2017. Science of The Total Environment 2018, 649, 31 -49.
AMA StyleAbbas Mardani, Dalia Streimikiene, Fausto Cavallaro, Nanthakumar Loganathan, Masoumeh Khoshnoudi. Carbon dioxide (CO2) emissions and economic growth: A systematic review of two decades of research from 1995 to 2017. Science of The Total Environment. 2018; 649 ():31-49.
Chicago/Turabian StyleAbbas Mardani; Dalia Streimikiene; Fausto Cavallaro; Nanthakumar Loganathan; Masoumeh Khoshnoudi. 2018. "Carbon dioxide (CO2) emissions and economic growth: A systematic review of two decades of research from 1995 to 2017." Science of The Total Environment 649, no. : 31-49.