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author:

Zhu, Yong-Jun (Zhu, Yong-Jun.) [1] | Li, Deng-Feng (Li, Deng-Feng.) [2]

Indexed by:

EI

Abstract:

The entropy of an intuitionistic fuzzy set (IFS) is a measure of uncertainty related to the IFS. The purpose of this paper is to develop a new axiomatical entropy for an IFS. The axioms for a new entropy of an IFS are defined and a mathematical expression/formula of the new entropy of the IFS is given. The newly defined entropy concerns both the amount of information and reliability of the IFS. It is proven that the new entropy has some remarkable and useful properties. The examples and comparison analysis show the validity and applicability of the new entropy proposed in this paper. © 2016 - IOS Press and the authors. All rights reserved.

Keyword:

Entropy Fuzzy sets Reliability

Community:

  • [ 1 ] [Zhu, Yong-Jun]School of Economics and Management, Fuzhou University, No. 2, Xueyuan Road, Daxue New District, Fuzhou District, Fuzhou, Fujian; 350108, China
  • [ 2 ] [Zhu, Yong-Jun]College of Information Technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China
  • [ 3 ] [Li, Deng-Feng]School of Economics and Management, Fuzhou University, No. 2, Xueyuan Road, Daxue New District, Fuzhou District, Fuzhou, Fujian; 350108, China

Reprint 's Address:

  • [li, deng-feng]school of economics and management, fuzhou university, no. 2, xueyuan road, daxue new district, fuzhou district, fuzhou, fujian; 350108, china

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Related Keywords:

Source :

Journal of Intelligent and Fuzzy Systems

ISSN: 1064-1246

Year: 2016

Issue: 6

Volume: 30

Page: 3057-3066

1 . 2 6 1

JCR@2016

1 . 7 0 0

JCR@2023

ESI HC Threshold:175

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 62

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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