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author:

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

Indexed by:

EI Scopus SCIE

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.

Keyword:

entropy information Intuitionistic fuzzy set reliability uncertainty

Community:

  • [ 1 ] [Zhu, Yong-Jun]Fuzhou Univ, Sch Ecomon & Management, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Li, Deng-Feng]Fuzhou Univ, Sch Ecomon & Management, Fuzhou 350108, Fujian, Peoples R China
  • [ 3 ] [Zhu, Yong-Jun]Jiangxi Univ Finance & Econ, Coll Informat Technol, Nanchang, Jiangxi, Peoples R China

Reprint 's Address:

  • 李登峰

    [Li, Deng-Feng]Fuzhou Univ, Sch Econ & Management, 2 Xueyuan Rd, Fuzhou 350108, Fujian, Peoples R China

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Version:

Related Keywords:

Source :

JOURNAL OF INTELLIGENT & 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 Discipline: COMPUTER SCIENCE;

ESI HC Threshold:175

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 41

SCOPUS Cited Count: 62

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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