DocumentCode
3728287
Title
A New Similarity Measure between Intuitionistic Fuzzy Sets for Pattern Recognition Based on the Centroid Points of Transformed Fuzzy Numbers
Author
Shou-Hsiung Cheng; Shyi-Ming Chen; Tzu-Chun Lan
Author_Institution
Dept. of Inf. Manage., Chienkuo Technol. Univ., Changhua, Taiwan
fYear
2015
Firstpage
2244
Lastpage
2249
Abstract
This paper proposes a new similarity measure between intuitionistic fuzzy sets (IFSs) for pattern recognition based on the centroid points of transformed right-angled triangular fuzzy numbers to deal with pattern recognition problems. The proposed similarity measure between IFSs outperforms the existing similarity measures for dealing with the pattern recognition problems.
Keywords
"Pattern recognition","Fuzzy sets","Conferences","Cybernetics","Information management","Computer science","Weight measurement"
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/SMC.2015.392
Filename
7379524
Link To Document