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Prof. Dr. Edmundas Kazimieras Zavadskas
Chief Researcher of Institute of Sustainable Construction, Vilnius Gediminas technical university

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0 Building Management
0 Civil Engineering
0 Decision Support Systems
0 Multiple criteria decision making
0 Construction Engineering and Manage

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Civil Engineering
Multiple criteria decision making
Construction Engineering and Manage
Decision Support Systems

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Article
Published: 22 August 2021 in International Journal of Fuzzy Systems
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Although in line with the resource-based view (RBV), the impact of different HPWS practices on the innovation success of SMEs has been approved by researchers, investigating the previous studies indicates that the relation between these two areas has been more widely considered and less attention has been paid to the impact mechanism. Lack of real data and focus of analysis on respondents’ opinions, lack of process perspective and focus on innovation output criteria, lack of attention to uncertainty in the impact chain, and most importantly lack of a method to prioritize HPWS practices are among the most important constraints identified. So, this study proposes a framework for prioritizing innovation-oriented high-performance human resource practices by combining fuzzy DEA and fuzzy ARAS methods. This paper also presents an objective approach to investigate the impact of High-Performance Work system (HPWS) practices on innovation performance of small and medium size enterprises (SMEs) by considering organizational innovation as a process. After preparing the list of HPWS practices and innovation performance criteria through reviewing the literature and obtaining expert opinions, the fuzzy DEA method was used to model the innovation process performance and calculate the weight of each innovation input criteria. Then, considering the impact of HPWS practices on these input criteria, HPWS practices were ranked using the fuzzy ARAS method. The results of applying this framework to SMEs in the field of nanotechnology in Iran show that top management support is the most important input criteria and the financial results of innovation are the most important output of organizational innovation criteria. In addition, based on the results of this study, the most important effective HPWS practices for SME innovation can be considered as: employee training and development, information sharing and employee participation. The consistency of final ranking of practices and criteria importance with the findings of previous research, the results of sensitivity analysis and comparison of the results of proposed framework and four other multi-attribute decision-making (MADM) methods show the robustness and reliability of the findings of this research.

ACS Style

Jalil Heidary Dahooie; Mehrdad Estiri; Edmundas Kazimieras Zavadskas; Zeshui Xu. A Novel Hybrid Fuzzy DEA-Fuzzy ARAS Method for Prioritizing High-Performance Innovation-Oriented Human Resource Practices in High Tech SME’s. International Journal of Fuzzy Systems 2021, 1 -26.

AMA Style

Jalil Heidary Dahooie, Mehrdad Estiri, Edmundas Kazimieras Zavadskas, Zeshui Xu. A Novel Hybrid Fuzzy DEA-Fuzzy ARAS Method for Prioritizing High-Performance Innovation-Oriented Human Resource Practices in High Tech SME’s. International Journal of Fuzzy Systems. 2021; ():1-26.

Chicago/Turabian Style

Jalil Heidary Dahooie; Mehrdad Estiri; Edmundas Kazimieras Zavadskas; Zeshui Xu. 2021. "A Novel Hybrid Fuzzy DEA-Fuzzy ARAS Method for Prioritizing High-Performance Innovation-Oriented Human Resource Practices in High Tech SME’s." International Journal of Fuzzy Systems , no. : 1-26.

Journal article
Published: 15 July 2021 in Informatica
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ACS Style

Ayoub Mohammadian; Jalil Heidary Dahooie; Ali Reza Qorbani; Edmundas Kazimieras Zavadskas; Zenonas Turskis. A New Multi-Attribute Decision-Making Framework for Policy-Makers by Using Interval-Valued Triangular Fuzzy Numbers. Informatica 2021, 1 -36.

AMA Style

Ayoub Mohammadian, Jalil Heidary Dahooie, Ali Reza Qorbani, Edmundas Kazimieras Zavadskas, Zenonas Turskis. A New Multi-Attribute Decision-Making Framework for Policy-Makers by Using Interval-Valued Triangular Fuzzy Numbers. Informatica. 2021; ():1-36.

Chicago/Turabian Style

Ayoub Mohammadian; Jalil Heidary Dahooie; Ali Reza Qorbani; Edmundas Kazimieras Zavadskas; Zenonas Turskis. 2021. "A New Multi-Attribute Decision-Making Framework for Policy-Makers by Using Interval-Valued Triangular Fuzzy Numbers." Informatica , no. : 1-36.

Review
Published: 02 July 2021 in Sustainability
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Aspects of sustainable construction investment and real estate development (CIRED) and their interrelations during the period pre-, intra-, and post-COVID-19, are presented in the research. Applications of the topic model, environmental psychology theory, building life cycle method, and certain elements of bibliometrics, webometrics, article level metrics, altmetrics, and scientometrics make it possible to perform a quantitative analysis on CIRED. The CIRED topic model was developed in seven steps. This paper aims to present a literature review on CIRED throughout the pandemic and to look at the responses from the real estate and construction sector. This sector is a field that appears to be rapidly expanding, judging from the volume of current research papers. This review focuses on last year’s leading peer-reviewed journals. A combination of various keywords was applied for the review and the criteria for paper selections included construction investment, real estate development, civil engineering, COVID-19, and sustainability, as well as residential, industrial, commercial, land, and special purpose real estate, along with their risks, strategies, and trends. The articles reviewed for this paper, which analyzes three hypotheses, look at pre-, intra-, and post-pandemic CIRED. The three hypotheses were validated by analyzing scientific publications from around the world. Two innovative elements make this study stand out among the most advanced research on pre-, intra-, and post-pandemic CIRED. The first of the two innovations is the integrated analysis of the COVID-19 pandemic, COVID-19-related national policies, and business investment strategies relevant to CIRED and the interests of investors as well as on the impact a CIRED policy and investors make on the spread of COVID-19. In addition, this research demonstrates a marked increase in the effectiveness of a CIRED analysis, when the life cycle of a CIRED, the involved stakeholders with their own individual interests, the COVID-19 situation, and the external micro-, meso-, and macro-environments are covered comprehensively as a single entity.

ACS Style

Arturas Kaklauskas; Edmundas Zavadskas; Natalija Lepkova; Saulius Raslanas; Kestutis Dauksys; Ingrida Vetloviene; Ieva Ubarte. Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field. Sustainability 2021, 13, 7420 .

AMA Style

Arturas Kaklauskas, Edmundas Zavadskas, Natalija Lepkova, Saulius Raslanas, Kestutis Dauksys, Ingrida Vetloviene, Ieva Ubarte. Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field. Sustainability. 2021; 13 (13):7420.

Chicago/Turabian Style

Arturas Kaklauskas; Edmundas Zavadskas; Natalija Lepkova; Saulius Raslanas; Kestutis Dauksys; Ingrida Vetloviene; Ieva Ubarte. 2021. "Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field." Sustainability 13, no. 13: 7420.

Research article
Published: 18 June 2021 in Economic Research-Ekonomska Istraživanja
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Fossil fuels as the primary energy source create career opportunities, provide industries with vital raw material and energy resources, have harmful emissions to the environment and are also related to finite natural resources. They rely on them as the main source of energy supply is unsustainable. Sustainability assessment tools may be useful in developing a more sustainable scenario. However, the resiliency of nature is not taken into account in this linear assessment. The detrimental effect of these fuels on the environment during their life cycle would suggest transitioning from cradle-to-grave to the cradle-to-cradle lifecycle viewpoint. This study implements the Circular Economic (CE) in fossil fuel development to minimize the unsustainable effects and ensure the environment’s resiliency. In this context, three different fossil fuels are assessed based on the CE model’s proposed lifecycle phases to find out the most sustainable fossil fuel option. A case study is carried out in an industrial location with high-level decision-makers. CE criteria are evaluated based on the E-SWARA method to ensure the assessment’s reliability at this critical step. Next, a novel MCDM method, MARCOS, is applied to this study. Based on the results, gas is the most sustainable energy generation plant in the intended region.

ACS Style

Hamidreza Hasheminasab; Sarfaraz Hashemkhani Zolfani; Edmundas Kazimieras Zavadskas; Mohammadreza Kharrazi; Marinko Skare. A circular economy model for fossil fuel sustainable decisions based on MADM techniques. Economic Research-Ekonomska Istraživanja 2021, 1 -19.

AMA Style

Hamidreza Hasheminasab, Sarfaraz Hashemkhani Zolfani, Edmundas Kazimieras Zavadskas, Mohammadreza Kharrazi, Marinko Skare. A circular economy model for fossil fuel sustainable decisions based on MADM techniques. Economic Research-Ekonomska Istraživanja. 2021; ():1-19.

Chicago/Turabian Style

Hamidreza Hasheminasab; Sarfaraz Hashemkhani Zolfani; Edmundas Kazimieras Zavadskas; Mohammadreza Kharrazi; Marinko Skare. 2021. "A circular economy model for fossil fuel sustainable decisions based on MADM techniques." Economic Research-Ekonomska Istraživanja , no. : 1-19.

Editorial
Published: 09 June 2021 in Symmetry
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This Special Issue covers symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multi-criteria decision-making problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the Special Issue.

ACS Style

Edmundas Zavadskas; Jurgita Antucheviciene; Zenonas Turskis. Symmetric and Asymmetric Data in Solution Models. Symmetry 2021, 13, 1045 .

AMA Style

Edmundas Zavadskas, Jurgita Antucheviciene, Zenonas Turskis. Symmetric and Asymmetric Data in Solution Models. Symmetry. 2021; 13 (6):1045.

Chicago/Turabian Style

Edmundas Zavadskas; Jurgita Antucheviciene; Zenonas Turskis. 2021. "Symmetric and Asymmetric Data in Solution Models." Symmetry 13, no. 6: 1045.

Journal article
Published: 30 April 2021 in Sustainability
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Construction is a complex activity, characterized by high levels of capital investment, relatively long delivery durations, multitudinous risks and uncertainties, as well as requiring the integration of multiple skills delivering a huge volume of tasks and processes. All of these must be coordinated carefully if time, cost, and quality constraints are to be met. At the same time, construction is renowned for performing poorly regarding sustainability metrics. Construction activity generates high volumes of waste, requires vast amounts of resources and materials, while consuming a significant proportion of total energy generated. Digitalization of the construction workplace and construction activities has the potential of improving construction performance both in terms of business results as well as sustainability outcomes. This is because, to put it simply, reduced energy usage, for example, impacts economic and “green” performance, simultaneously. Firms tinkering with digitalization, however, do not always achieve the hoped-for outcomes. The challenge faced is that a digital transition of construction firms must be carried out at a strategic level—requiring a comprehensive change management protocol. What then does a digital strategy entail? This study puts forward an argument for the combined economic and sustainability dividends to be had from digitizing construction firm activities. It outlines the requirements for achieving digitalization. The elements of a comprehensive digitalization strategy are cataloged, while the various approaches to developing a digitalization strategy are discussed. This study offers practitioners a useful framework by which to consider their own firm-level efforts at digitalization transition.

ACS Style

Bahareh Nikmehr; M. Hosseini; Igor Martek; Edmundas Zavadskas; Jurgita Antucheviciene. Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review. Sustainability 2021, 13, 5040 .

AMA Style

Bahareh Nikmehr, M. Hosseini, Igor Martek, Edmundas Zavadskas, Jurgita Antucheviciene. Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review. Sustainability. 2021; 13 (9):5040.

Chicago/Turabian Style

Bahareh Nikmehr; M. Hosseini; Igor Martek; Edmundas Zavadskas; Jurgita Antucheviciene. 2021. "Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review." Sustainability 13, no. 9: 5040.

Journal article
Published: 17 April 2021 in Sustainability
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Evaluating the life cycle of buildings is a valuable tool for assessing sustainability and analyzing environmental consequences throughout the construction operations of buildings. In this study, in order to determine the importance of building life cycle evaluation indicators, a new combination method was used based on a quantitative-qualitative method (QQM) and a simplified best-worst method (SBWM). The SBWM method was used because it simplifies BWM calculations and does not require solving complex mathematical models. Reducing the time required to perform calculations and eliminating the need for complicated computer software are among the advantages of the proposed method. The QQM method has also been used due to its ability to evaluate quantitative and qualitative criteria simultaneously. The feasibility and applicability of the SBWM were examined using three numerical examples and a case study, and the results were evaluated. The results of the case study showed that the criteria of the estimated cost, comfort level, and basic floor area were, in order, the most important criteria among the others. The results of the numerical examples and the case study showed that the proposed method had a lower total deviation (TD) compared to the basic BWM. Sensitivity analysis results also confirmed that the proposed approach has a high degree of robustness for ranking and weighting criteria.

ACS Style

Maghsoud Amiri; Mohammad Hashemi-Tabatabaei; Mohammad Ghahremanloo; Mehdi Keshavarz-Ghorabaee; Edmundas Zavadskas; Arturas Kaklauskas. Evaluating Life Cycle of Buildings Using an Integrated Approach Based on Quantitative-Qualitative and Simplified Best-Worst Methods (QQM-SBWM). Sustainability 2021, 13, 4487 .

AMA Style

Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mohammad Ghahremanloo, Mehdi Keshavarz-Ghorabaee, Edmundas Zavadskas, Arturas Kaklauskas. Evaluating Life Cycle of Buildings Using an Integrated Approach Based on Quantitative-Qualitative and Simplified Best-Worst Methods (QQM-SBWM). Sustainability. 2021; 13 (8):4487.

Chicago/Turabian Style

Maghsoud Amiri; Mohammad Hashemi-Tabatabaei; Mohammad Ghahremanloo; Mehdi Keshavarz-Ghorabaee; Edmundas Zavadskas; Arturas Kaklauskas. 2021. "Evaluating Life Cycle of Buildings Using an Integrated Approach Based on Quantitative-Qualitative and Simplified Best-Worst Methods (QQM-SBWM)." Sustainability 13, no. 8: 4487.

Journal article
Published: 24 March 2021 in Symmetry
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The weights of criteria in multi-criteria decision-making (MCDM) problems are essential elements that can significantly affect the results. Accordingly, researchers developed and presented several methods to determine criteria weights. Weighting methods could be objective, subjective, and integrated. This study introduces a new method, called MEREC (MEthod based on the Removal Effects of Criteria), to determine criteria’ objective weights. This method uses a novel idea for weighting criteria. After systematically introducing the method, we present some computational analyses to confirm the efficiency of the MEREC. Firstly, an illustrative example demonstrates the procedure of the MEREC for calculation of the weights of criteria. Secondly, a comparative analysis is presented through an example for validation of the introduced method’s results. Additionally, we perform a simulation-based analysis to verify the reliability of MEREC and the stability of its results. The data of the MCDM problems generated for making this analysis follow a prevalent symmetric distribution (normal distribution). We compare the results of the MEREC with some other objective weighting methods in this analysis, and the analysis of means (ANOM) for variances shows the stability of its results. The conducted analyses demonstrate that the MEREC is efficient to determine objective weights of criteria.

ACS Style

Mehdi Keshavarz-Ghorabaee; Maghsoud Amiri; Edmundas Zavadskas; Zenonas Turskis; Jurgita Antucheviciene. Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC). Symmetry 2021, 13, 525 .

AMA Style

Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Zavadskas, Zenonas Turskis, Jurgita Antucheviciene. Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC). Symmetry. 2021; 13 (4):525.

Chicago/Turabian Style

Mehdi Keshavarz-Ghorabaee; Maghsoud Amiri; Edmundas Zavadskas; Zenonas Turskis; Jurgita Antucheviciene. 2021. "Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)." Symmetry 13, no. 4: 525.

Journal article
Published: 15 March 2021 in Symmetry
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Mathematical models describing physical, technical, economic, and other processes can be used to analyze these processes and predict their results, providing that these models are stable and their results are stable relative to the model parameters used. Small changes in the values of the model parameters correspond to small changes in the results. Multicriteria decision-making models need to check the results’ stability against the models’ main components: the values of the criteria weights and the elements of the decision matrix. In this article, we study the stability of models associated with the calculation of criteria weights. For the analysis, the most commonly used models are taken—the Analytic Hierarchy Process (AHP) method and the fuzzy Analytic Hierarchy Process (FAHP) method, in which fuzzy numbers are used under conditions of data uncertainty. Both mathematically well-based methods verify the consistency of the expert evaluations. The method of statistical simulation (Monte Carlo) is the basis for studying the results’ stability. The study checks the experts’ provided evaluations’ consistency, calculates the criteria weights, and evaluates their relative errors after a slight change in the estimates of the pairwise comparisons of the criteria provided by the experts. The matrix of comparisons of the FAHP method is constructed based on the entire expert group’s assessments. It estimates the boundaries of variance in the fuzzy criteria weights. This paper estimates the stability of the criteria’ weights associated with the mathematical methods themselves and the experts’ estimates. The results are useful to study the stability of specific MCDM methods when ranking alternatives.

ACS Style

Irina Vinogradova-Zinkevič; Valentinas Podvezko; Edmundas Zavadskas. Comparative Assessment of the Stability of AHP and FAHP Methods. Symmetry 2021, 13, 479 .

AMA Style

Irina Vinogradova-Zinkevič, Valentinas Podvezko, Edmundas Zavadskas. Comparative Assessment of the Stability of AHP and FAHP Methods. Symmetry. 2021; 13 (3):479.

Chicago/Turabian Style

Irina Vinogradova-Zinkevič; Valentinas Podvezko; Edmundas Zavadskas. 2021. "Comparative Assessment of the Stability of AHP and FAHP Methods." Symmetry 13, no. 3: 479.

Journal article
Published: 10 March 2021 in Informatica
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ACS Style

Alptekin Ulutaş; Dragisa Stanujkic; Darjan Karabasevic; Gabrijela Popovic; Edmundas Kazimieras Zavadskas; Florentin Smarandache; Willem K.M. Brauers. Developing of a Novel Integrated MCDM MULTIMOOSRAL Approach for Supplier Selection. Informatica 2021, 32, 145 -161.

AMA Style

Alptekin Ulutaş, Dragisa Stanujkic, Darjan Karabasevic, Gabrijela Popovic, Edmundas Kazimieras Zavadskas, Florentin Smarandache, Willem K.M. Brauers. Developing of a Novel Integrated MCDM MULTIMOOSRAL Approach for Supplier Selection. Informatica. 2021; 32 (1):145-161.

Chicago/Turabian Style

Alptekin Ulutaş; Dragisa Stanujkic; Darjan Karabasevic; Gabrijela Popovic; Edmundas Kazimieras Zavadskas; Florentin Smarandache; Willem K.M. Brauers. 2021. "Developing of a Novel Integrated MCDM MULTIMOOSRAL Approach for Supplier Selection." Informatica 32, no. 1: 145-161.

Journal article
Published: 14 February 2021 in Sustainability
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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.

ACS Style

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 Style

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 (4):2064.

Chicago/Turabian Style

Arunodaya 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.

Journal article
Published: 27 January 2021 in International Journal of Information Technology & Decision Making
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Appraising the alternative among a set versus conflicting factors is taken into account as an essential issue in real-world decision problems. In this paper, a new multicriteria group decision-making (MCGDM) model is introduced with a fuzzy relative preference relation (FRPR) concept and additive ratio assessment (ARAS) method. FRPR is a useful way to reduce time complexity and to avoid pairwise comparisons. Also, a new method for determining the weights of experts by using an extension of the reference point method is presented and added to this new MCGDM model for an aggregation of the experts’ judgments. Finally, a case study about the selection problem of the engineering project in exploration and sampling projects of lead and zinc mine by decisive criteria are solved to denote the capability of the presented model. Furthermore, to illustrate the various applications of the proposed method in different decision problems, an example of literature is solved.

ACS Style

Yahya Dorfeshan; Seyed Meysam Mousavi; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene. A New Enhanced ARAS Method for Critical Path Selection of Engineering Projects with Interval Type-2 Fuzzy Sets. International Journal of Information Technology & Decision Making 2021, 20, 37 -65.

AMA Style

Yahya Dorfeshan, Seyed Meysam Mousavi, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene. A New Enhanced ARAS Method for Critical Path Selection of Engineering Projects with Interval Type-2 Fuzzy Sets. International Journal of Information Technology & Decision Making. 2021; 20 (01):37-65.

Chicago/Turabian Style

Yahya Dorfeshan; Seyed Meysam Mousavi; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene. 2021. "A New Enhanced ARAS Method for Critical Path Selection of Engineering Projects with Interval Type-2 Fuzzy Sets." International Journal of Information Technology & Decision Making 20, no. 01: 37-65.

Journal article
Published: 12 January 2021 in Computers & Operations Research
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Credit risk evaluation is always the most important factor in determining Customers' credit status in financial institutions. Multi-Attribute Decision-Making (MADM) methods have been widely used in this field. But most of the studies neglect the undeniable impact of time and changes of the credit assessment criteria, their importance and evaluation data over time. On the other hand, developed Dynamic MADM (DMADM) methods often used subjective weighting methods and then applied some aggregation operators to rank alternatives. This paper proposes a new combination of Data Envelopment Analysis (DEA) as a powerful objective weighting method with DMADM as a novel dynamic decision-making method for credit performance evaluation. For this aim, the credit performance criteria were extracted using literature review and experts’ views. Criteria weights were calculated with dynamic DEA common set of weights approach. Then, the applicants are prioritized using five Grey MADM methods (including SAW-G, VIKOR-G, TOPSIS-G, ARAS-G and COPRAS-G). Finally, a new method called Correlation Coefficient and Standard Deviation (CCSD) was used to determine the final aggregated rank. This novel method is applied in order to credit ratings of the clients in the Beekeeping Industry Development Funding Institute IRAN The results indicate that the proposed MADM method, while eliminating the limitations of previous methods, has been able to maintain robustness. Also, the results are highly correlated with the results of previous methods.

ACS Style

Jalil Heidary Dahooie; Seyed Hossein Razavi Hajiagha; Shima Farazmehr; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene. A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods. Computers & Operations Research 2021, 129, 105223 .

AMA Style

Jalil Heidary Dahooie, Seyed Hossein Razavi Hajiagha, Shima Farazmehr, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene. A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods. Computers & Operations Research. 2021; 129 ():105223.

Chicago/Turabian Style

Jalil Heidary Dahooie; Seyed Hossein Razavi Hajiagha; Shima Farazmehr; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene. 2021. "A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods." Computers & Operations Research 129, no. : 105223.

Journal article
Published: 11 January 2021 in Sustainable Cities and Society
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The harmonious and sustainable development of modern societies is inseparable from the efficient use of resources to meet the population's needs. Optimising governance through sound resource management and protecting the needs of society is particularly important and challenging in terms of sustainable development. Stakeholders, therefore, need a new public building management model based on sustainability criteria. The proposed model helps to assess buildings’ end-use efficiency making an emphasis on sustainability and including criteria of social benefit. Decision-makers can assess the end-use efficiency of municipal buildings and make equitable solutions using this model. Public sector organisations, especially local governments, need these results to manage large amounts of public assets. The hybrid solution model proposed for decision-making integrates four different methods and several fuzzy criteria values. Policymakers determine the weights of the criteria based on the Delphi method. In the next phase, decision-makers solve the problem with a new fuzzy extended approach to multi-criteria issues and a fuzzy Combined Compromise Solution (CoCoSo-F). This model helps decision-makers meet a wide range of challenges without the precise knowledge that describes the options, as well as the expertise and technical solutions needed to make decisions.

ACS Style

Edmundas Kazimieras Zavadskas; Zenonas Turskis; Jūratė Šliogerienė; Tatjana Vilutienė. An integrated assessment of the municipal buildings’ use including sustainability criteria. Sustainable Cities and Society 2021, 67, 102708 .

AMA Style

Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jūratė Šliogerienė, Tatjana Vilutienė. An integrated assessment of the municipal buildings’ use including sustainability criteria. Sustainable Cities and Society. 2021; 67 ():102708.

Chicago/Turabian Style

Edmundas Kazimieras Zavadskas; Zenonas Turskis; Jūratė Šliogerienė; Tatjana Vilutienė. 2021. "An integrated assessment of the municipal buildings’ use including sustainability criteria." Sustainable Cities and Society 67, no. : 102708.

Journal article
Published: 01 January 2021 in Journal of Smart Environments and Green Computing
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ACS Style

Edmundas Kazimieras Zavadskas; Irena Đalić; Željko Stević. Application of novel DEA-SWARA-WASPAS model for efficiency assessment of agricultural products. Journal of Smart Environments and Green Computing 2021, 1, 32 -46.

AMA Style

Edmundas Kazimieras Zavadskas, Irena Đalić, Željko Stević. Application of novel DEA-SWARA-WASPAS model for efficiency assessment of agricultural products. Journal of Smart Environments and Green Computing. 2021; 1 (1):32-46.

Chicago/Turabian Style

Edmundas Kazimieras Zavadskas; Irena Đalić; Željko Stević. 2021. "Application of novel DEA-SWARA-WASPAS model for efficiency assessment of agricultural products." Journal of Smart Environments and Green Computing 1, no. 1: 32-46.

Journal article
Published: 30 December 2020 in Mathematics
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During the last decade, researchers put a lot of effort into the development of the multi-criteria decision methods (MCDM) capable of dealing with the uncertainty and vagueness of the initial information. MCDM approaches that work under the environment of the interval-valued neutrosophic sets (IVNS) demonstrate credibility for the analysis of different opinions as well as for the inconsistency of the criteria evaluation data. The novel multicriteria decision-making approach MULTIMOORA-IVNS (multi-objective optimisation by ratio analysis under interval-valued neutrosophic sets) is presented in this paper. A novel heuristic evaluation methodology HEBIN (heuristic evaluation based on interval numbers) that exploits MULTIMOORA-IVNS for the processing of the evaluation results is also presented in this research. HEBIN is able to increase the accuracy of the checklists-based heuristic evaluation and to diminish the impact of the inconsistencies caused by the evaluators. A comparison of six e-commerce websites is introduced to reveal the practicalities of the proposed multicriteria decision-making application.

ACS Style

Edmundas Kazimieras Zavadskas; Romualdas Bausys; Ingrida Lescauskiene; Ana Usovaite. MULTIMOORA under Interval-Valued Neutrosophic Sets as the Basis for the Quantitative Heuristic Evaluation Methodology HEBIN. Mathematics 2020, 9, 66 .

AMA Style

Edmundas Kazimieras Zavadskas, Romualdas Bausys, Ingrida Lescauskiene, Ana Usovaite. MULTIMOORA under Interval-Valued Neutrosophic Sets as the Basis for the Quantitative Heuristic Evaluation Methodology HEBIN. Mathematics. 2020; 9 (1):66.

Chicago/Turabian Style

Edmundas Kazimieras Zavadskas; Romualdas Bausys; Ingrida Lescauskiene; Ana Usovaite. 2020. "MULTIMOORA under Interval-Valued Neutrosophic Sets as the Basis for the Quantitative Heuristic Evaluation Methodology HEBIN." Mathematics 9, no. 1: 66.

Journal article
Published: 18 December 2020 in Studies in Informatics and Control
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Edmundas Kazimieras Zavadskas; Romualdas Bausys; Ingrida Lescauskiene; Jamal Omran. M-generalised q-neutrosophic MULTIMOORA for Decision Making. Studies in Informatics and Control 2020, 29, 389 -398.

AMA Style

Edmundas Kazimieras Zavadskas, Romualdas Bausys, Ingrida Lescauskiene, Jamal Omran. M-generalised q-neutrosophic MULTIMOORA for Decision Making. Studies in Informatics and Control. 2020; 29 (4):389-398.

Chicago/Turabian Style

Edmundas Kazimieras Zavadskas; Romualdas Bausys; Ingrida Lescauskiene; Jamal Omran. 2020. "M-generalised q-neutrosophic MULTIMOORA for Decision Making." Studies in Informatics and Control 29, no. 4: 389-398.

Journal article
Published: 10 December 2020 in Mathematics
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The construction industry is an important industry because of its effects on different aspects of human life experiences and circumstances. Environmental concerns have been considered in designing and planning processes of construction supply chains in the recent past. One of the most crucial problems in managing supply chains is the process of evaluation and selection of green suppliers. This process can be categorized as a multi-criteria decision-making (MCDM) problem. The aim of this study is to propose a novel and efficient methodology for evaluation of green construction suppliers with uncertain information. The framework of the proposed methodology is based on weighted aggregated sum product assessment (WASPAS) and the simple multi-attribute rating technique (SMART), and Fermatean fuzzy sets (FFSs) are used to deal with uncertainty of information. The methodology was applied to a green supplier evaluation and selection in the construction industry. Fifteen suppliers were chosen to be evaluated with respect to seven criteria including “estimated cost”, “delivery efficiency”, “product flexibility”, “reputation and management level”, “eco-design”, and “green image pollution”. Sensitivity and comparative analyses were also conducted to assess the efficiency and validity of the proposed methodology. The analyses showed that the results of the proposed methodology were stable and also congruent with those of some existing methods.

ACS Style

Mehdi Keshavarz-Ghorabaee; Maghsoud Amiri; Mohammad Hashemi-Tabatabaei; Edmundas Kazimieras Zavadskas; Arturas Kaklauskas. A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation. Mathematics 2020, 8, 2202 .

AMA Style

Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Edmundas Kazimieras Zavadskas, Arturas Kaklauskas. A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation. Mathematics. 2020; 8 (12):2202.

Chicago/Turabian Style

Mehdi Keshavarz-Ghorabaee; Maghsoud Amiri; Mohammad Hashemi-Tabatabaei; Edmundas Kazimieras Zavadskas; Arturas Kaklauskas. 2020. "A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation." Mathematics 8, no. 12: 2202.

Journal article
Published: 04 December 2020 in Symmetry
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Trends of globalization very often cause the emergence of phenomena that asymmetrically affect the overall sustainability of the transport system. In order to predict certain situations and potentially be able to manage the transport system, it is necessary to manage risk situations and traffic safety in a timely manner. This study has conducted an investigation which implies defining the level of safety of a total of nine sections of two-lane roads. The main aim of the paper is to create a new multiphase model consisting of CRITIC (The CRiteria Importance Through Intercriteria Correlation), Fuzzy FUCOM (Full Consistency Method), DEA (Data Envelopment Analysis), and Fuzzy MARCOS (Measurement Alternatives and Ranking according to the COmpromise Solution) methods for determining the level of traffic safety on road sections under the conditions of uncertainty. In order for the created model to be adequately applied, eight parameters were created, and they were classified through four inputs and four outputs. To calculate the significance of the inputs, the CRITIC method based on the symmetric correlation matrix was used, and taking into account the nature of the outputs, the Fuzzy FUCOM method based on averaged values using the fuzzy Bonferroni Mean (BM) operator was applied to determine their weights. To determine the degree of safety, the DEA model was created. After that, the Fuzzy MARCOS method was used in order to determine the final ranking of the remaining five sections of the road network. Finally, the verification of results was performed through three phases of Sensitivity Analysis (SA).

ACS Style

Jelena Mitrović Simić; Željko Stević; Edmundas Kazimieras Zavadskas; Vuk Bogdanović; Marko Subotić; Abbas Mardani. A Novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS Model for Safety Evaluation of Road Sections Based on Geometric Parameters of Road. Symmetry 2020, 12, 2006 .

AMA Style

Jelena Mitrović Simić, Željko Stević, Edmundas Kazimieras Zavadskas, Vuk Bogdanović, Marko Subotić, Abbas Mardani. A Novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS Model for Safety Evaluation of Road Sections Based on Geometric Parameters of Road. Symmetry. 2020; 12 (12):2006.

Chicago/Turabian Style

Jelena Mitrović Simić; Željko Stević; Edmundas Kazimieras Zavadskas; Vuk Bogdanović; Marko Subotić; Abbas Mardani. 2020. "A Novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS Model for Safety Evaluation of Road Sections Based on Geometric Parameters of Road." Symmetry 12, no. 12: 2006.

Journal article
Published: 24 November 2020 in Applied Soft Computing
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Resource-constrained project scheduling problem (RCPSP) has been one of the most important topics in project scheduling in recent decades. RCPSP, due to the strategic importance of the projects and internal and external pressures for timely completion, is a very challenging task. When executing a project, controlling and monitoring it also becomes vital. This paper aims to present a new soft computing framework that incorporates decision making about RCPSP parameters, RCPSP modeling, adding project and activities buffer, and monitoring the project. In the decision-making procedure, the activities durations are interval, but resource requirements are real numbers. So, the decision-making problem needs a hybrid procedure. To overcome this matter, the hybrid projection measure is extended to obtain the experts weights and build the aggregated decision matrix. In the RCPSP section, the activities durations are not determined and vary between certain ranges. The resource requirements and range of activities durations are obtained from group decision-making method. In addition, this model is solved with simulated annealing (SA) algorithm. In the third step, buffers are considered in a way that allocating project buffer to activities’ buffers becomes based on a new normalized important factor. The normalized important factor is introduced by considering activity duration and resource requirements. Finally, a novel controlling procedure is extended by activity buffer monitoring. Two buffer threshold sets and violations are applied, and each one of them sends a particular alarm to the project manager. Project manager’s decisions in optimistic and pessimistic situations are discussed. Ultimately, the method is solved in a real case study, and the results are discussed. The application shows that the presented method is flexible in many situations. It also increases the probability of timely completion of the project in addition to tracking the deviations from the plan. The proposed method introduces a comprehensive framework, so it gives project managers a better vision. It can also act as an ideal monitoring tool to control schedule deviations and to help project manager for proper actions during the project execution.

ACS Style

S. Aramesh; S.M. Mousavi; V. Mohagheghi; E.K. Zavadskas; J. Antucheviciene. A soft computing approach based on critical chain for project planning and control in real-world applications with interval data. Applied Soft Computing 2020, 98, 106915 .

AMA Style

S. Aramesh, S.M. Mousavi, V. Mohagheghi, E.K. Zavadskas, J. Antucheviciene. A soft computing approach based on critical chain for project planning and control in real-world applications with interval data. Applied Soft Computing. 2020; 98 ():106915.

Chicago/Turabian Style

S. Aramesh; S.M. Mousavi; V. Mohagheghi; E.K. Zavadskas; J. Antucheviciene. 2020. "A soft computing approach based on critical chain for project planning and control in real-world applications with interval data." Applied Soft Computing 98, no. : 106915.