Title :
A review of similarity measures for fuzzy systems
Author :
Liao, T. Warren ; Zhang, Zhiming
Author_Institution :
Dept. of Ind. & Manuf. Syst. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
Matching is a common problem in many areas of applications. In fuzzy systems, partial matching is allowed. Many similarity measures have been proposed for different fuzzy systems. The objective of this paper is to review some of these similarity measures. A comparison of some selected measures is also given
Keywords :
expert systems; fuzzy set theory; fuzzy systems; information retrieval; pattern recognition; query processing; fuzzy database; fuzzy expert systems; fuzzy information retrieval; fuzzy pattern recognition; fuzzy set theory; fuzzy systems; partial matching; pattern matching; similarity measures; Area measurement; Databases; Fuzzy systems; Hybrid intelligent systems; Information retrieval; Manufacturing industries; Manufacturing systems; Production systems; Shape measurement; Systems engineering and theory;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552303
