Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
393802 | Information Sciences | 2012 | 8 Pages |
Abstract
In this paper, we introduce an axiomatic definition of the similarity measure of intuitionistic fuzzy sets (IFS) that differs from the definition of Li [15]. The relationship between the similarity measure and the entropy of IFS is investigated in detail. Six theorems on how the similarity measure could be transformed into the entropy for IFS and vice versa are proposed based on their axiomatic definitions. Some formulas have been proposed to calculate the similarity measure and the entropy of IFS. Finally, sufficient conditions to transform the similarity measures to the entropy for IFS and vice versa are given.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jinquan Li, Guannan Deng, Hongxing Li, Wenyi Zeng,