rank these systems in order of decreasing entropy

Keywords: Intuitionistic fuzzy set, entropy, information, reliability, uncertainty

The examples and comparison analysis show the validity and applicability of the new entropy proposed in this paper. It is proven that the new entropy has some remarkable and useful properties. Entropy is defined as a measure of a system’s disorder or the energy unavailable to do work. The newly defined entropy concerns both the amount of information and reliability of the 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 gi ven. The purpose of this paper is to develop a new axiomatical entropy for an IFS. Ībstract: The entropy of an intuitionistic fuzzy set (IFS) is a measure of uncertainty related to the IFS. 2, Xueyuan Road, Daxue New District, Fuzhou District, Fuzhou, Fujian 350108, China. Deng-Feng Li, School of Economics and Management, Fuzhou University, No. School of Ecomonics and Management, Fuzhou University, Fuzhou, Fujian, ChinaĬollege of Information Technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, ChinaĬorresponding author. Authors: Zhu, Yong-Jun a b | Li, Deng-Feng a *

Rank these systems in order of decreasing entropy