Novel exponential fuzzy information measures

被引:0
作者
Joshi, Rajesh [1 ]
机构
[1] DAV Univ, Dept Math, Jalandhar 144012, Punjab, India
关键词
Fuzzy set; Exponential fuzzy knowledge measure; Exponential fuzzy accuracy measure; Exponential fuzzy similarity measure; Exponential fuzzy entropy measure; VIKOR; TOPSIS; ENTROPY; SETS; WEIGHTS;
D O I
10.1007/s00500-022-07632-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Knowledge is basically a piece of information considered in a particular useful context under consideration. A knowledge measure as a dual of fuzzy entropy quantifies the knowledge associated with a fuzzy set. This communication is intended to introduce a novel exponential fuzzy knowledge measure. Furthermore, a new decision-making method using the VIKOR concept based on proposed knowledge measure is put forward. The working of proposed decision-making method is explained through two numerical examples. Considering the importance of criteria weights in decision-making, two ways have been discussed for their evaluation. Besides, three new measures, namely an exponential fuzzy accuracy measure, an exponential fuzzy entropy measure and an exponential fuzzy similarity measure, have been introduced.
引用
收藏
页码:1331 / 1346
页数:16
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