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Dual concepts in fuzzy theory: Entropy and knowledge measure.
- 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 :
- THEORY of knowledge
Subjects
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