Similarity Measure and Entropy of Fuzzy Soft Sets
Joint Authors
Pei, Zheng
Liu, Zhicai
Qin, Keyun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainties.
Recently, uncertainty measures of soft sets and fuzzy soft sets have gained attentions from researchers.
This paper is devoted to the study of uncertainty measures of fuzzy soft sets.
The axioms for similarity measure and entropy are proposed.
A new category of similarity measures and entropies is presented based on fuzzy equivalence.
Our approach is general in the sense that by using different fuzzy equivalences one gets different similarity measures and entropies.
The relationships among these measures and the other proposals in the literatures are analyzed.
American Psychological Association (APA)
Liu, Zhicai& Qin, Keyun& Pei, Zheng. 2014. Similarity Measure and Entropy of Fuzzy Soft Sets. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048530
Modern Language Association (MLA)
Liu, Zhicai…[et al.]. Similarity Measure and Entropy of Fuzzy Soft Sets. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1048530
American Medical Association (AMA)
Liu, Zhicai& Qin, Keyun& Pei, Zheng. Similarity Measure and Entropy of Fuzzy Soft Sets. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048530
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048530
