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Multi-attribute Decision-Making Method Based on Multi-granulation Support Intuitionistic Fuzzy Rough Sets
Author(s): 
Pages: 677-690
Year: Issue:  8
Journal: Pattern Recognition and Artificial Intelligence

Keyword:  Support Intuitionistic Fuzzy SetMulti-granulation Rough SetMulti-attribute Decision-MakingFitting Function;
Abstract: Multiple contradictory attribute information makes it difficult for decision makers to make decisions in multi-attribute decision-making, and therefore the problem are studied from the perspective of support intuitionistic fuzzy sets in this paper. Firstly, on the basis of support intuitionistic fuzzy sets, two models of optimistic and pessimistic multi-granulation support intuitionistic fuzzy rough sets are constructed in combination with the theory of multi-granulation rough sets. The relationship between two models above is analyzed and the related properties are discussed. Then, the fitting function is defined by t-norm and t-conorm, and a multi-attribute decision-making solving method with multi-granulation support intuitionistic fuzzy rough sets is proposed. Meanwhile, a score function and a accuracy function are defined to sort decision results, the corresponding decision rules are extracted, and an algorithm is designed. Example analysis verifies that the method enables decision makers to select the optimal decision-making scheme according to actual demands while dealing with conflicting multi-attribute decision-making problems.
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