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The development of sustainable green buildings (GBs) is a major contribution to the preservation of the environment. Sustainable thinking in GB construction is not a supplementary element, but rather necessary to achieve the building’s functional, economic, and environmental efficiency in order to preserve resources and meet current and future needs. In particular, developing countries can apply the idea of sustainability in GBs by following international policies and standards, combined with their local characteristics, to construct GBs that are aligned with the environment and are in line with the available local capabilities and resources. The paper focuses on the dimensions and indicators of sustainable design for GBs in developing countries to achieve the positive dimensions of building sustainability, such as preserving energy and natural resources, water management, adaptation to the surrounding environment, and respecting the needs of its users. We assess and prioritize the dimensions and indicators of GBs through the use of a multi-criteria decision-making (MCDM) method under a neutrosophic environment. Initially, the Delphi method is employed to capture preference and to determine the dimensions and their indicators in addition to provide preference among sub-indicators. The relative importance of the selected dimensions and indicators is assessed through the analytical hierarchy method (AHP) method. The results indicate that the water efficiency dimension is the most significant, with a weight of 0.330, while the energy efficiency dimension is the least significant for GBs in developing countries, with a weight of 0.100. The paper concludes with a set of administrative implications for applying sustainable development strategies in GBs.
Mohamed Abdel-Basset; Abduallah Gamal; Ripon Chakrabortty; Michael Ryan; Nissreen El-Saber. A Comprehensive Framework for Evaluating Sustainable Green Building Indicators under an Uncertain Environment. Sustainability 2021, 13, 6243 .
AMA StyleMohamed Abdel-Basset, Abduallah Gamal, Ripon Chakrabortty, Michael Ryan, Nissreen El-Saber. A Comprehensive Framework for Evaluating Sustainable Green Building Indicators under an Uncertain Environment. Sustainability. 2021; 13 (11):6243.
Chicago/Turabian StyleMohamed Abdel-Basset; Abduallah Gamal; Ripon Chakrabortty; Michael Ryan; Nissreen El-Saber. 2021. "A Comprehensive Framework for Evaluating Sustainable Green Building Indicators under an Uncertain Environment." Sustainability 13, no. 11: 6243.
Reverse logistics (RL) is considered the reverse manner of gathering and redeploying goods at the end of their lifetime span from consumers to manufacturers in order to reutilize, dispose, or remanufacture. Whereas RL has many economic benefits, it presents compromises to businesses that wish to remain competitive but be responsible global citizens in terms of social, environmental, risk, and safety aspects of sustainable development. Managing RL systems therefore is considered a multifaceted mission that necessities a significant level of technology, infrastructure, experience, and competence. Consequently, various commerce institutions are looking to outsourcing their RL actions to third-party reverse logistics providers (3PRLPs). In this work, a novel hybrid multiple-criteria decision-making (MCDM) framework is proposed to classify and choose 3PRLPs, which comprises the analytic hierarchy process (AHP) technique, and technique for order of preference by similarity to ideal solution (TOPSIS) technique under neutrosophic environment. Accordingly, AHP is availed for defining weights of key dimensions and their subindices. In addition, TOPSIS was adopted for ranking the specified 3PRLPs. The efficiency of the proposed approach is clarified through application on a considered car parts manufacturing industry case in Egypt, which shows the features of the combined MCDM methods. A comparative and sensitivity analyses were performed to highlight the benefits of the incorporated MCDM methods and for clarifying the effect of changing weights in selecting the sustainable 3PRLP alternative, respectively. The suggested framework is also shown to present more functional execution when dealing with uncertainties and qualitative inputs, demonstrating applicability to a broad range of applications. Ultimately, the best sustainable 3PRLPs were selected and results show that social, environmental, and risk and safety sustainability factors have the greatest influence when determining 3PRLPs alternatives.
Mohamed Abdel-Basset; Abduallah Gamal; Mohamed Elhoseny; Ripon Chakrabortty; Michael Ryan. A Conceptual Hybrid Approach from a Multicriteria Perspective for Sustainable Third-Party Reverse Logistics Provider Identification. Sustainability 2021, 13, 4615 .
AMA StyleMohamed Abdel-Basset, Abduallah Gamal, Mohamed Elhoseny, Ripon Chakrabortty, Michael Ryan. A Conceptual Hybrid Approach from a Multicriteria Perspective for Sustainable Third-Party Reverse Logistics Provider Identification. Sustainability. 2021; 13 (9):4615.
Chicago/Turabian StyleMohamed Abdel-Basset; Abduallah Gamal; Mohamed Elhoseny; Ripon Chakrabortty; Michael Ryan. 2021. "A Conceptual Hybrid Approach from a Multicriteria Perspective for Sustainable Third-Party Reverse Logistics Provider Identification." Sustainability 13, no. 9: 4615.
Many countries that derive their energy from fossil fuel sources are turning to renewable, and environmentally friendly energy sources to alleviate the growing concerns about global warming and environmental issues. Bioenergy technology is one of the potential alternatives for renewable energy systems. This paper evaluates sustainable bioenergy production technologies through a case study in Egypt. A comprehensive methodology has been developed in which experts and decision makers are able to use linguistic terms to express their opinions and participate in the decision making required to prioritize the dimensions that affect the sustainability of bioenergy production technologies. Identification of the optimum bioenergy production technology and setting its priorities is a difficult task; many dimensions must be taken into account in the evaluation process, such as the environmental, technical, economic, and social dimensions and their sub-indicators. This paper therefore applies a hybrid multi-criteria decision-making (MCDM) approach that takes into account many conflicting dimensions. In addition, handling of uncertainty was conducted under a neutrosophic environment using trapezoidal neutrosophic numbers (TNNs). Initially, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was employed to identify the relative importance of the dimensions and their sub-indicators. Then, Evaluation based on Distance from Average Solution (EDAS) was employed to rank alternatives. An illustrative case considering seven bioenergy production technologies was studied to confirm the feasibility of the suggested approach, and comparisons were performed to show the advantages of the hybrid MCDM techniques. Sensitivity analysis is conducted to prove the validity and stability of the developed framework with variations in weights. The results of this work provide useful information for energy policy decision makers and the results of the case study indicate that the conversion of agricultural and municipal wastes to biogas is the most suitable sustainable bioenergy technology with a weight of 0.996 followed by oil crops to biodiesel technology with weight 0.539.
Mohamed Abdel-Basset; Abduallah Gamal; Ripon K. Chakrabortty; Michael Ryan. Development of a hybrid multi-criteria decision-making approach for sustainability evaluation of bioenergy production technologies: A case study. Journal of Cleaner Production 2021, 290, 125805 .
AMA StyleMohamed Abdel-Basset, Abduallah Gamal, Ripon K. Chakrabortty, Michael Ryan. Development of a hybrid multi-criteria decision-making approach for sustainability evaluation of bioenergy production technologies: A case study. Journal of Cleaner Production. 2021; 290 ():125805.
Chicago/Turabian StyleMohamed Abdel-Basset; Abduallah Gamal; Ripon K. Chakrabortty; Michael Ryan. 2021. "Development of a hybrid multi-criteria decision-making approach for sustainability evaluation of bioenergy production technologies: A case study." Journal of Cleaner Production 290, no. : 125805.
Hydrogen has a considerable number of uses in society so researchers continue to seek sustainable production methods in terms of the materials involved in the reaction at an appropriate and reasonable cost. In addition to its uses in a wide variety of chemical processes, hydrogen is also one of the new alternatives to energy because its combustion has a very low environmental impact and the heat content of combustion is almost three times the heat content of the same mass of oil fuel. Unfortunately, the majority of hydrogen production systems rely on fossil fuels, so considerable research is required to ensure that such production systems are more sustainable. Sustainability in hydrogen production entails not harming the environment and producing in a clean, safe, reliable, and affordable manner. Traditionally, hydrogen production options have not received much attention from researchers with regard to assessing environmental, economic, and social dimensions. Consequently, we seek in this study to complete a comprehensive evaluation of the sustainability of hydrogen production options through the use of a multi-criteria decision making model. Further, decisions taken by experts in the energy field are subject to uncertainty so this paper suggests a model to evaluate hydrogen production options by a group of experts based on a set of criteria under the neutrosophic environment. The relative importance of the selected criteria is evaluated by the Analytic Hierarchy Process and Complex Proportional Assessment and Evaluation based on Distance from Average Solution are adopted to rank the hydrogen production options. An illustrative case considering seven hydrogen production options was studied to verify the feasibility of the proposed framework, while results comparisons were implemented to indicate the advantages of the hybrid MCDM methods. All the results obtained indicate that the wind electrolysis method is the key to sustainable hydrogen production in the near future, followed by the biomass gasification approach.
Mohamed Abdel-Basset; Abduallah Gamal; Ripon K. Chakrabortty; Michael J. Ryan. Evaluation of sustainable hydrogen production options using an advanced hybrid MCDM approach: A case study. International Journal of Hydrogen Energy 2020, 46, 4567 -4591.
AMA StyleMohamed Abdel-Basset, Abduallah Gamal, Ripon K. Chakrabortty, Michael J. Ryan. Evaluation of sustainable hydrogen production options using an advanced hybrid MCDM approach: A case study. International Journal of Hydrogen Energy. 2020; 46 (5):4567-4591.
Chicago/Turabian StyleMohamed Abdel-Basset; Abduallah Gamal; Ripon K. Chakrabortty; Michael J. Ryan. 2020. "Evaluation of sustainable hydrogen production options using an advanced hybrid MCDM approach: A case study." International Journal of Hydrogen Energy 46, no. 5: 4567-4591.
Professional selection is a significant task for any organization that aims to select the most appropriate candidates to fill well-defined vacancies up. In the recruitment process, various individual characteristics are involved, such as leadership, analytical skills, independent thinking, innovation, stamina and personality, ambiguity and imprecision. It outlines staff contribution and therefore plays a significant part in human resources administration. Additionally, in the era of the Internet of Things and Big Data (IoTBD), professional selection would face several challenges not only to the safe selection and security but also to make wise and prompt decisions especially in the large-scale candidates and criteria from the Cloud. However, the process of professional selection is often led by experience, which contains vague, ambiguous and uncertain decisions. It is therefore necessary to design an efficient decision-making algorithm, which could be further escalated to IoTBD. In this paper, we propose a new hybrid neutrosophic multi criteria decision making (MCDM) framework that employs a collection of neutrosophic analytical network process (ANP), and order preference by similarity to ideal solution (TOPSIS) under bipolar neutrosophic numbers. The MCDM framework is applied for chief executive officer (CEO) selection in a case study at the Elsewedy Electric Group, Egypt. The proposed approach allows us to assemble individual evaluations of the decision makers and therefore perform accurate personnel selection. The outcomes of the proposed method are compared with those of the related works such as weight sum model (WSM), weight product model (WPM), analytical hierarchy process (AHP), multi-objective optimization based on simple ratio analysis (MOORA) and ANP methods to prove and validate the results.
Mohamed Abdel-Basset; Abduallah Gamal; Le Hoang Son; Florentin Smarandache. A Bipolar Neutrosophic Multi Criteria Decision Making Framework for Professional Selection. Applied Sciences 2020, 10, 1202 .
AMA StyleMohamed Abdel-Basset, Abduallah Gamal, Le Hoang Son, Florentin Smarandache. A Bipolar Neutrosophic Multi Criteria Decision Making Framework for Professional Selection. Applied Sciences. 2020; 10 (4):1202.
Chicago/Turabian StyleMohamed Abdel-Basset; Abduallah Gamal; Le Hoang Son; Florentin Smarandache. 2020. "A Bipolar Neutrosophic Multi Criteria Decision Making Framework for Professional Selection." Applied Sciences 10, no. 4: 1202.
Plithogeny is the construction, development, and evolution of new entities from composition of contradictory (dissimilar) or non-contradictory multiple old entities. Using plithogenic aggregation operations may contribute to combining multiple opinions of decision-makers. The best-worst method (BWM) is an efficient multi-criteria decision-making (MCDM) technique that is based on pairwise comparison with the minimum number of comparisons, and on identification of the consistency of these comparisons. In this paper, we propose a plithogenic model based on the BWM. The result of plithogenic aggregation operation is taken as input to the BWM. We present two real-world supply chain problems as case studies to test the proposed model; these problems are warehouse location and plant evaluation. The results show the weight of each criterion, in order to arrange them based on their importance.
Mohamed Abdel-Basset; Rehab Mohamed; Abd El-Nasser H. Zaied; Abduallah Gamal; Florentin Smarandache. Solving the supply chain problem using the best-worst method based on a novel Plithogenic model. Optimization Theory Based on Neutrosophic and Plithogenic Sets 2020, 1 -19.
AMA StyleMohamed Abdel-Basset, Rehab Mohamed, Abd El-Nasser H. Zaied, Abduallah Gamal, Florentin Smarandache. Solving the supply chain problem using the best-worst method based on a novel Plithogenic model. Optimization Theory Based on Neutrosophic and Plithogenic Sets. 2020; ():1-19.
Chicago/Turabian StyleMohamed Abdel-Basset; Rehab Mohamed; Abd El-Nasser H. Zaied; Abduallah Gamal; Florentin Smarandache. 2020. "Solving the supply chain problem using the best-worst method based on a novel Plithogenic model." Optimization Theory Based on Neutrosophic and Plithogenic Sets , no. : 1-19.
This research suggests an approach constructed on the connotation of plithogenic theory and VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) technique to come up with a methodical procedure to assess the infirmary serving under a framework of plithogenic theory, where the ambiguity, incomplete information, qualitative information, approximate evaluation, imprecision and uncertainty are addressed with semantic expressions determined by plithogenic numbers and computing of contradiction degrees of attribute values. This research stratifies the plithogenic multi criteria decision making (MCDM) strategy for defining the significant weights of assessing standards, and the VIKOR technique is applied for enhancing the serving efficiency classifications of the possible substitutes. An experimental issue, including 11 assessing standards, 3 private and 2 general hospitals in Zagazig, has been evaluated by 3 assessors from several areas of medical activities, asked to validate the suggested strategy. In this research, we give some definitions of the plithogenic environment, which is more general and comprehensive than fuzzy, intuitionistic fuzzy and neutrosophic ones. The plithogeny is interested in the contradiction degrees between attribute values that help in better calculating the aggregations. We conducted the data analysis and the results showed us that the serving efficiency of private medical centers is superior than that of general medical centers due to the fact that public medical centers are scarcely supported by governmental institutions. The private medical centers have to ward themselves to keep possession of bringing patients or attract patients. We conducted the sensitivity analysis of the achieved results, to verify their validity, and to find out to what extent the different values affect the ranking of available alternatives.
Mohamed Abdel-Basset; Mohamed El-Hoseny; Abduallah Gamal; Florentin Smarandache. A novel model for evaluation Hospital medical care systems based on plithogenic sets. Artificial Intelligence in Medicine 2019, 100, 101710 .
AMA StyleMohamed Abdel-Basset, Mohamed El-Hoseny, Abduallah Gamal, Florentin Smarandache. A novel model for evaluation Hospital medical care systems based on plithogenic sets. Artificial Intelligence in Medicine. 2019; 100 ():101710.
Chicago/Turabian StyleMohamed Abdel-Basset; Mohamed El-Hoseny; Abduallah Gamal; Florentin Smarandache. 2019. "A novel model for evaluation Hospital medical care systems based on plithogenic sets." Artificial Intelligence in Medicine 100, no. : 101710.
Internet of Things (IoT) has gain the importance with the growing applications in the fields of ubiquitous and context-aware computing. In IoT, anything can be a portion of it, whether it is unintelligent objects or sensor nodes; thus extremely different kinds of services can be developed. In this regard, data storage, resource management, service creation and discovery, resource and power management would facilitate advanced mechanism and much better infrastructure. Cloud computing and fog computing play an important role when the quantity of data and information IoTs are critical. Thus, it would not be potential for standalone strength forced IoT to handle. Cloud of things is an integration of IoT with cloud computing or fog computing which can aid to realize the objectives of evolving IoT and future internet. Fog computing is an expansion to the notion of cloud computing to the network brim, making it suitable for IoT and other implementations that need real-time and fundamental interactions. Regardless of many virtually and services unlimited resources presented by cloud-like intelligent building monitoring and others, it yet countenances various difficulties when interfering many smart things in human’s life. Mobility, response time, location consciousness are the most prominent problems. Fog and mobile edge computing have been established, to get rid of these difficulties of cloud computing. In this paper, we suggest a novel framework based on computer propped diagnosis and IoT to detect and observe type-2 diabetes patients. The recommended healthcare system aims to obtain a better accuracy of diagnosis with mysterious data. The overall experimental results indicate the validity and robustness of our proposed algorithms.
Mohamed Abdel-Basset; Gunasekaran Manogaran; Abduallah Gamal; Victor Chang. A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT. IEEE Internet of Things Journal 2019, 7, 4160 -4170.
AMA StyleMohamed Abdel-Basset, Gunasekaran Manogaran, Abduallah Gamal, Victor Chang. A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT. IEEE Internet of Things Journal. 2019; 7 (5):4160-4170.
Chicago/Turabian StyleMohamed Abdel-Basset; Gunasekaran Manogaran; Abduallah Gamal; Victor Chang. 2019. "A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT." IEEE Internet of Things Journal 7, no. 5: 4160-4170.
In a developed society, people have more concerned about their health. Thus, improvement of medical field application has been one of the greatest active study areas. Medical statistics show that heart disease is the main reason for morbidity and death in the world. The physician’s job is difficult because of having too many factors to analyze in the diagnosis of heart disease. Besides, data and information gained by the physician for diagnosis are often partial and immersed. Recently, health care applications with the Internet of Things (IoT) have offered different dimensions and other online services. These applications have provided a new platform for millions of people to receive benefits from the regular health tips to live a healthy life. In this paper, we propose a novel framework based on computer supported diagnosis and IoT to detect and monitor heart failure infected patients, where the data are attained from various other sources. The proposed healthcare system aims at obtaining better precision of diagnosis with ambiguous information. We suggest neutrosophic multi criteria decision making (NMCDM) technique to aid patient and physician to know if patient is suffering from heart failure. Furthermore, through dealing with the uncertainty of imprecision and vagueness resulted from the symmetrical priority scales of different symptoms of disease, users know what extent the disease is dangerous in their body. The proposed model is validated by numerical examples on real case studies. The experimental results indicate that the proposed system provides a viable solution that can work at wide range, a new platform to millions of people getting benefit over the decreasing of mortality and cost of clinical treatment related to heart failure.
Mohamed Abdel-Basset; Abduallah Gamal; Gunasekaran Manogaran; Le Hoang Son; Hoang Viet Long. A novel group decision making model based on neutrosophic sets for heart disease diagnosis. Multimedia Tools and Applications 2019, 79, 9977 -10002.
AMA StyleMohamed Abdel-Basset, Abduallah Gamal, Gunasekaran Manogaran, Le Hoang Son, Hoang Viet Long. A novel group decision making model based on neutrosophic sets for heart disease diagnosis. Multimedia Tools and Applications. 2019; 79 (15-16):9977-10002.
Chicago/Turabian StyleMohamed Abdel-Basset; Abduallah Gamal; Gunasekaran Manogaran; Le Hoang Son; Hoang Viet Long. 2019. "A novel group decision making model based on neutrosophic sets for heart disease diagnosis." Multimedia Tools and Applications 79, no. 15-16: 9977-10002.
To attain competitive advantages and promote environmental performance, a proactive approach called green supply chain management (GSCM), has been extensively employed. In this paper, we use the robust ranking technique with neutrosophic set to handle practices and performances in GSCM. We evaluate GSCM practices using the robust ranking technique in order to detect practices leading to better economic and environmental performances. We employ the neutrosophic set theory to handle vague data, imprecise knowledge, incomplete information and linguistic imprecision. The efficiency of the proposed method is evaluated by using the first case study from petroleum industry in Egypt and the second case study from manufacturing firm in China. The results display that “reverse logistics”, “supplier environmental collaboration”, “carbon management” are the significant in GSCM practices. Both case studies verified that our proposal could be adopted for effectiveness and improvement. Our work could help managers and decision makers to become more environmentally responsible.
M. Abdel-Baset; Victor Chang; Abduallah Gamal. Evaluation of the green supply chain management practices: A novel neutrosophic approach. Computers in Industry 2019, 108, 210 -220.
AMA StyleM. Abdel-Baset, Victor Chang, Abduallah Gamal. Evaluation of the green supply chain management practices: A novel neutrosophic approach. Computers in Industry. 2019; 108 ():210-220.
Chicago/Turabian StyleM. Abdel-Baset; Victor Chang; Abduallah Gamal. 2019. "Evaluation of the green supply chain management practices: A novel neutrosophic approach." Computers in Industry 108, no. : 210-220.
Mohamed Abdel-Basset; M. Saleh; Abduallah Gamal; Florentin Smarandache. An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number. Applied Soft Computing 2019, 77, 438 -452.
AMA StyleMohamed Abdel-Basset, M. Saleh, Abduallah Gamal, Florentin Smarandache. An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number. Applied Soft Computing. 2019; 77 ():438-452.
Chicago/Turabian StyleMohamed Abdel-Basset; M. Saleh; Abduallah Gamal; Florentin Smarandache. 2019. "An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number." Applied Soft Computing 77, no. : 438-452.
Sustainable supplier selections have been improved by an increased number of multi criteria group decision making (MCGDM) methods and techniques. This paper provides a multi criteria group decision making (MCGDM) proposed technique of the ANP (analytical network process) method and the VIKOR (ViseKriterijumska Optimizacija I Kompromisno Resenje) method under neutrosophic environment for dealing with incomplete information and high order imprecision. This is done by using of the triangular neutrosophic numbers (TriNs) to present the linguistic variables based on opinions of experts and decision makers. The aim is to solve the problem of supplier selection in sustainable supplier chain management (SSCM). The suggested technique consists of two phases. First, we use the ANP method to calculate the weights of criteria and sub criteria. Second, with the aid of VIKOR method and with obtained weights of the criteria and sub criteria from step one, we can find the solution. A case study is used to present the decision process in detail. Our proposed method is compared directly with the entropy method to justify our approach. We also use genetic algorithm to compute predicted values for five selected cities while varying economic, environmental and social criteria. Explanations of forecasted outputs and limitation for research have been presented. Our objective is to demonstrate that our proposal can calculate key measurement for major import and export cities, as well as to provide fair and reliable forecasted outcomes.
M. Abdel-Baset; Victor Chang; Abduallah Gamal; Florentin Smarandache. An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Computers in Industry 2019, 106, 94 -110.
AMA StyleM. Abdel-Baset, Victor Chang, Abduallah Gamal, Florentin Smarandache. An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Computers in Industry. 2019; 106 ():94-110.
Chicago/Turabian StyleM. Abdel-Baset; Victor Chang; Abduallah Gamal; Florentin Smarandache. 2019. "An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field." Computers in Industry 106, no. : 94-110.
Advances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach for estimating the smart medical devices (SMDs) selection process in a group decision making (GDM) in a vague decision environment. The complexity of the selected decision criteria for the smart medical devices is a significant feature of this analysis. To simulate these processes, a methodology that combines neutrosophics using bipolar numbers with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) under GDM is suggested. Neutrosophics with TOPSIS approach is applied in the decision making process to deal with the vagueness, incomplete data and the uncertainty, considering the decisions criteria in the data collected by the decision makers (DMs). In this research, the stress is placed upon the choosing of sugar analyzing smart medical devices for diabetics’ patients. The main objective is to present the complications of the problem, raising interest among specialists in the healthcare industry and assessing smart medical devices under different evaluation criteria. The problem is formulated as a multi criteria decision type with seven alternatives and seven criteria, and then edited as a multi criteria decision model with seven alternatives and seven criteria. The results of the neutrosophics with TOPSIS model are analyzed, showing that the competence of the acquired results and the rankings are sufficiently stable. The results of the suggested method are also compared with the neutrosophic extensions AHP and MOORA models in order to validate and prove the acquired results. In addition, we used the SPSS program to check the stability of the variations in the rankings by the Spearman coefficient of correlation. The selection methodology is applied on a numerical case, to prove the validity of the suggested approach.
Mohamed Abdel-Basset; Gunasekaran Manogaran; Abduallah Gamal; Florentin Smarandache. A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection. Journal of Medical Systems 2019, 43, 38 .
AMA StyleMohamed Abdel-Basset, Gunasekaran Manogaran, Abduallah Gamal, Florentin Smarandache. A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection. Journal of Medical Systems. 2019; 43 (2):38.
Chicago/Turabian StyleMohamed Abdel-Basset; Gunasekaran Manogaran; Abduallah Gamal; Florentin Smarandache. 2019. "A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection." Journal of Medical Systems 43, no. 2: 38.
For any organization, the selection of suppliers is a very important step to increase productivity and profitability. Any organization or company seeks to use the best methodology and the appropriate technology to achieve its strategies and objectives. The present study employs the neutrosophic set for decision making and evaluation method (DEMATEL) to analyze and determine the factors influencing the selection of SCM suppliers. DEMATEL is considered a proactive approach to improve performance and achieve competitive advantages. This study applies the neutrosophic set Theory to adjust general judgment, using a new scale to present each value. A case study implementing the proposed methodology is presented (i.e. selecting the best supplier for a distribution company). This research was designed by neutrosophic DEMATEL data collection survey of experts, interviewing professionals in management, procurement and production. The results analyzed in our research prove that quality is the most influential criterion in the selection of suppliers.
Mohamed Abdel-Basset; Gunasekaran Manogaran; Abduallah Gamal; Florentin Smarandache. A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria. Design Automation for Embedded Systems 2018, 22, 257 -278.
AMA StyleMohamed Abdel-Basset, Gunasekaran Manogaran, Abduallah Gamal, Florentin Smarandache. A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria. Design Automation for Embedded Systems. 2018; 22 (3):257-278.
Chicago/Turabian StyleMohamed Abdel-Basset; Gunasekaran Manogaran; Abduallah Gamal; Florentin Smarandache. 2018. "A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria." Design Automation for Embedded Systems 22, no. 3: 257-278.