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多粒度粗糙直觉模糊截集的研究
作者单位:;1.河南师范大学计算机与信息工程学院;2.智慧商务与物联网技术河南省工程实验室
摘    要:直觉模糊集和多粒度粗糙集的融合是一个研究热点.针对多粒度粗糙直觉模糊集的表示问题,根据直觉模糊集的分解定理和截集理论,构造了乐观和悲观多粒度粗糙直觉模糊集模型,定义了乐观和悲观多粒度粗糙直觉模糊集上下近似集,并证明了多粒度粗糙直觉模糊集的一些性质,同时提出了一个新的直觉模糊集的相似度公式.最后通过小麦长势评估实例,分析讨论了乐观和悲观多粒度粗糙直觉模糊集模型的有效性.

关 键 词:直觉模糊集  粗糙集  粒度  截集  相似度

Research on Multi-granularity Rough Intuitionistic Fuzzy Cut Sets
Affiliation:,College of Computer and Information Engineering,Engineering Lab of Henan Province for Intelligence Business &Internet of Things,Henan Normal University
Abstract:It has been a hot research topic about the combination of multi-granularity rough sets and intuitionistic fuzzy sets.In this paper,for the representation problem of multi-granularity rough intuitionistic fuzzy sets,the optimistic and pessimistic multi-granularity rough intuitionistic fuzzy sets model are structured with the decomposition theorems and the cut set theory of intuitionistic fuzzy sets,and the upper and lower approximation sets are defined on the optimistic and pessimistic multigranularity rough intuitionistic fuzzy sets.Furthermore,some properties of multi-granularity rough intuitionistic fuzzy sets are proved.At the same time,a new similarity formula of intuitionistic fuzzy sets is proposed.Finally,we analyze and discuss the validity of the optimistic and pessimistic multi-granularity rough intuitionistic fuzzy model through the example of wheat growth evaluation.
Keywords:intuitionistic fuzzy sets  rough sets  multi-granularity  cut sets  similarity
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