摘要
针对贴近度公理化定义中存在的问题,定义一类新的贴近度,称之为单调贴近度,并对单调贴近度的性质及其与模糊熵及包含度之间的关系进行研究,给出利用模糊熵或包含度构造单调贴近度,以及利用单调贴近度构造模糊熵及包含度的方法。
A novel class of similarity measure, named monotonic similarity measure, is defined. Furthermore, the properties of monotonic similarity measure and its relationship with fuzzy entropy and inclusion measure are investigated. As a result, the methods for constructing monotonic similarity measure using fuzzy entropy and inclusion measure, and the methods for obtaining fuzzy entropy and inclusion measure using monotonic similarity measure are provided.
出处
《模糊系统与数学》
CSCD
北大核心
2015年第6期103-110,共8页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(11201057
11226263)
吉林省自然科学基金资助项目(201215165
20130206006SF)
关键词
模糊集
贴近度
单调贴近度
模糊熵
包含度
Fuzzy Sets
Similarity
Monotonic Similarity Measure
Fuzzy Entropy
Inclusion Measure