A Knowledge Measure with Parameter of Intuitionistic Fuzzy Sets

Autor:	Chao Ma, Jing Zhang, Jinhui Xu, Xiaolong Lin, Shenguo Yuan, Zhenhua Zhang
Rok vydání:	2018
Předmět:	Parametric model Intuitionistic fuzzy Entropy (information theory) Applied mathematics General Medicine Axiom Mathematics
Zdroj:	Applied Mathematics. :874-889
ISSN:	2152-7393 2152-7385
DOI:	10.4236/am.2018.97060
Popis:	A new knowledge measure with parameter of intuitionistic fuzzy sets (IFSs) is presented based on the membership degree and the non-membership degree of IFSs, which complies with the extended form of Szmidt-Kacprzyk axioms for intuitionistic fuzzy entropy. And a sufficient and necessary condition of order property in the Szmidt-Kacprzyk axioms is discussed. Additionally, some numerical examples are given to illustrate the applications of the proposed knowledge measure and some conventional entropies and knowledge measures of IFSs. The experimental results show that the results of the parametric model proposed in this paper are more accurate than those of most of the classic models.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::33f1940e53fe6e83721aa03ddeb4c82a https://doi.org/10.4236/am.2018.97060 Zobrazit plný text záznamu