Title :
A new similarity measure between intuitionistic fuzzy sets based on transformation techniques
Author :
Shyi-Ming Chen ; Chia-Hao Chang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
In this paper, we present a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. First, we present a new similarity measure between intuitionistic fuzzy values based on transformation techniques. Then, based on the proposed similarity measure between intuitionistic fuzzy values, we propose a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. The proposed similarity measure can overcome the drawbacks of the existing similarity measures between intuitionistic fuzzy sets.
Keywords :
fuzzy set theory; intuitionistic fuzzy sets; similarity measure; transformation techniques; Abstracts; Transforms; Fuzzy numbers; Intuitionistic fuzzy sets; Intuitionistic fuzzy values; Similarity measures;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009148
