A Comparative Study of Intuitionistic Fuzzy Entropy on Attribute Importance

DOI

10.2991/jcis.2008.4How to use a DOI?

Keywords

Objective weight, intuitionistic fuzzy entropy, multiple attribute decision making, intuitionistic fuzzy set

Abstract

We propose a new objective weight method by using intuitionistic fuzzy (IF) entropy measures for multiple attribute decision making (MADM). We utilize the nature of IF entropy to assess the attribute weight based on the credibility of data, and the concept is totally different with the traditional one. Moreover, there were many IF entropy measures which were originated with different theories. We choose a geometric concept which was introduced by Szmidt and Kacprzyk in 2001, and we combine the concept with several distance measures to form several IF entropy measures. We investigate the differences among those varied measures through the experiment simulation. According to the experiment results, the differences undoubtedly exist among those measures. Besides, we also understand the number of attributes and alter-natives would influence the degree of difference among those measures.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ting-Yu Chen
AU  - Chia-Hang Li
AU  - Che-Wei Tsui
PY  - 2008/12
DA  - 2008/12
TI  - A Comparative Study of Intuitionistic Fuzzy Entropy on Attribute Importance
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 23
EP  - 28
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.4
DO  - 10.2991/jcis.2008.4
ID  - Chen2008/12
ER  -