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Dual concepts in fuzzy theory: Entropy and knowledge measure.

Authors :
Singh, Surender
Lalotra, Sumita
Sharma, Sonam
Source :
International Journal of Intelligent Systems; May2019, Vol. 34 Issue 5, p1034-1059, 26p
Publication Year :
2019

Abstract

Entropy in a fuzzy set measures the amount of ambiguity/imprecision present in the fuzzy set. In this paper, we introduce a knowledge measure of a fuzzy set and its generalization (accuracy measure). The knowledge measure may be considered as a dual measure of fuzzy entropy. We also investigate the effectiveness and application of the proposed knowledge measure in multiple attribute decision making. Furthermore, we provide a result for obtaining a class of knowledge measure. We also prove a general method for obtaining a knowledge measure using accuracy measure. Among some suggested implications of the proposed fuzzy accuracy measure, we demonstrate the application of fuzzy accuracy measure in image thresholding. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
THEORY of knowledge

Details

Language :
English
ISSN :
08848173
Volume :
34
Issue :
5
Database :
Complementary Index
Journal :
International Journal of Intelligent Systems
Publication Type :
Academic Journal
Accession number :
135348193
Full Text :
https://doi.org/10.1002/int.22085