Multi Attribute Group Decision Making Based On Multigranulation Probabilistic Models With Interval Valued Neutrosophic Information
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Multi-Attribute Group Decision Making Based on Multigranulation Probabilistic Models with Interval-Valued Neutrosophic Information
Author | : Chao Zhang |
Publisher | : Infinite Study |
Total Pages | : 21 |
Release | : |
Genre | : Mathematics |
ISBN | : |
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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.
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