On similarity measures between intuitionistic fuzzy sets

Authors:
Wen-Liang Hung;Miin-Shen Yang
Affiliations:
Graduate Institute of Computer Science, National Hsinchu University of Education, Hsin-Chu, Taiwan;Department of Applied Mathematics, Chung Yuan Christian University, Chung-Li, Taiwan
Venue:
International Journal of Intelligent Systems
Year:
2008

Citing 0
Cited 8

Interval-valued fuzzy permutation method and experimental analysis on cardinal and ordinal evaluations

Journal of Computer and System Sciences
Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment

Information Fusion
A similarity measure of intuitionistic fuzzy sets based on the Sugeno integral with its application to pattern recognition

Information Sciences: an International Journal
A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems

International Journal of Intelligent Systems
Hesitant fuzzy entropy and cross-entropy and their use in multiattribute decision-making

International Journal of Intelligent Systems
New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets

Information Sciences: an International Journal
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view

Pattern Recognition Letters
Similarity measures for intuitionistic fuzzy sets: State of the art

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we first review several popular similarity measures between fuzzy sets and then extend those similarity measures to intuitionistic fuzzy sets. We also propose two new similarity measures between intuitionistic fuzzy sets. These similarity measures have been found to satisfy some similarity measure axioms. Several numerical experiments are performed to assess the performance of these measures. Numerical results clearly indicate these new measures to be superior in performance to the others. Finally, we apply the new measures to evaluate students' answerscripts. The experimental results show the superiority of the proposed measures for students' evaluation. © 2008 Wiley Periodicals, Inc.