A New Similarity Measure of Intuitionistic Fuzzy Sets and Application to Pattern Recognition

DOI

10.2991/aiie-15.2015.136How to use a DOI?

Keywords

intuitionistic fuzzy sets; similarity measure; abstention group influence; pattern recognition; medical diagnosis

Abstract

This paper addresses the issue of similarity measures of intuitionistic fuzzy sets (IFSs). Many measures of similarity between IFSs proposed before did not consider the abstention group influence, which may lead to counter-intuitive results in some cases. In this paper, first, we analyze the limitations of the existing similarity measures. Then, a new similarity measure of intuitionistic fuzzy sets is proposed and several numeric examples are given to demonstrate the validity of the proposed measure. Finally, the proposed similarity measure is applied to pattern recognition and medical diagnosis.

Copyright

© 2015, 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  - B. Zhou
AU  - C. Wu
PY  - 2015/07
DA  - 2015/07
TI  - A New Similarity Measure of Intuitionistic Fuzzy Sets and Application to Pattern Recognition
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 505
EP  - 509
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.136
DO  - 10.2991/aiie-15.2015.136
ID  - Zhou2015/07
ER  -