Rough Set Model and Decision Research in Intuitionistic Fuzzy Information System Based on Weighted Multi-granulation
JI Xia, ZHAO Peng, YAO Sheng
1.Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei 2300393 2.College of Computer Science and Technology, Anhui University, Hefei 230601
Abstract：By analyzing the limitation of the current multi-granulation intuitionistic fuzzy rough set(MGIFRS), a MGIFRS based on weighted granulations is presented in this paper. Firstly, the properties of the presented MGIFRS are analyzed. Three intuitionistic fuzzy rough sets, MGIFRS based on weighted granulations, optimistic MGIFRS and pessimistic MGIFRS, are compared to declare their relationships, and the relationship of uncertainty measurements under these three kinds of MGIFRS are also discussed. Then, the certainty factor and support factor of the decision rule are defined. A rule acquisition method is provided to make up for the shortcomings of the existing MGIFRS. Finally, an decision-making example is utilized to verify the validity of the proposed MGIFRS based on weighted granulations.
纪霞，赵鹏，姚晟. 加权多粒度直觉模糊信息系统的粗糙集模型及其决策*[J]. 模式识别与人工智能, 2017, 30(11): 971-982.
JI Xia, ZHAO Peng, YAO Sheng. Rough Set Model and Decision Research in Intuitionistic Fuzzy Information System Based on Weighted Multi-granulation. , 2017, 30(11): 971-982.
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