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 :
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