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Multi-Attribute Group Decision Making Based on Multigranulation Probabilistic Models with Interval-Valued Neutrosophic Information

Chao ZhangDeyu Li Xiangping KangYudong LiangSaid Broumi Arun Kumar Sangaiah

出版	Infinite Study
主題	Mathematics / Applied
URL	http://books.google.com.hk/books?id=l2r7DwAAQBAJ&hl=&source=gbs_api
EBook	SAMPLE

註釋

In plenty of realistic situations, multi-attribute group decision-making (MAGDM) is ubiquitous and significant in daily activities of individuals and organizations. Among diverse tools for coping with MAGDM, granular computing-based approaches constitute a series of viable and efficient theories by means of multi-view problem solving strategies. In this paper, in order to handle MAGDM issues with interval-valued neutrosophic (IN) information, we adopt one of the granular computing (GrC)-based approaches, known as multigranulation probabilistic models, to address IN MAGDM problems.