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A New Neutrosophic Multigranulation Model for Multi-Attribute Group Decision Making
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Author(s): Juanjuan Ding (Shanxi University, China), Wenhui Bai (Shanxi University, China), Chao Zhang (Shanxi University, China), Deyu Li (Shanxi University, China)and Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M'Sik, University Hassan II, Casablanca, Morocco)
Copyright: 2022
Pages: 16
Source title:
Handbook of Research on Advances and Applications of Fuzzy Sets and Logic
Source Author(s)/Editor(s): Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco)
DOI: 10.4018/978-1-7998-7979-4.ch024
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Abstract
Neutrosophic theories and methods are suitable for handling a variety of uncertain information, especially in complex decision-making situations. Nowadays, how to study multi-attribute group decision-making (MAGDM) problems in neutrosophic environments is a vital task for scholars and practitioners. Granular computing is a popular mathematical framework for uncertain problems, and it has been proved as a useful tool for solving MAGDM problems. In this chapter, a new neutrosophic multigranulation model for MAGDM is proposed, and some theoretical models and decision-making algorithms are presented. Finally, some case studies and comparative analysis are performed to show the merit of the presented models and algorithms. In general, this chapter is conducive to neutrosophic decision-making communities and intelligent decision-making methods.
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