基于熵的区间直觉模糊信息系统的度量  

Measurement of Interval-valued Intuitionistic Fuzzy Information System Based on Entropy

作　　者：杨伟萍[1] 曾崇[1] YANG Weiping;ZENG Chong(Longyan University, Longyan, Fujian 364000, Chin)

机构地区：[1]龙岩学院,福建龙岩364000

出　　处：《龙岩学院学报》2018年第2期5-11,共7页Journal of Longyan University

基　　金：福建省教育厅科技项目(JAT170578);龙岩学院百名青年教师攀登项目(LQ2014002)

摘　　要：将信息熵引入区间直觉模糊信息系统,以此来度量区间直觉模糊信息系统的不确定性。提出了度量区间直觉模糊信息系统不确定性的区间直觉模糊信息熵,证明了区间直觉模糊信息熵满足粒化单调性,给出两个区间直觉模糊粒结构的联合熵和条件熵,建立了区间直觉模糊信息熵与区间直觉模糊信息粒度的互补关系。Information entropy is an important approach for measuring the uncertainty of information system,which has been widely used in many domains. In this paper,the information entropy is introduced into the interval-valued intuitionistic fuzzy information system to measure the uncertainty of interval-valued intuitionistic fuzzy information system.The concept of interval-valued intuitionistic fuzzy information entropy to measure the uncertainty of interval-valued intuitionistic fuzzy information system is proposed.The interval-valued intuitionistic fuzzy information entropy satisfying granulation monotonicity is proved,and the joint entropy and condition entropy between two interval-valued intuitionistic fuzzy granular structures are presented. The complement relationship between interval-valued intuitionistic fuzzy information entropy and interval-valued intuitionistic fuzzy granularity is established.

关 键 词：区间直觉模糊信息系统 区间直觉模糊信息熵 条件熵 联合熵 区间直觉模糊信息粒度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]