DocumentCode
3215609
Title
Most and less similar fuzzy operators
Author
Szakal, Aniko ; Rincz, K.L.
Author_Institution
John von Neumann Fac. of Inf., Budapest Polytech., Hungary
Volume
3
fYear
2001
fDate
2001
Firstpage
1644
Abstract
In this paper, the construction of evolutionary operators by means of the elementary distance and similarity function is introduced. It is also shown that these elementary functions can be used to construct distance and similarity measures
Keywords
control system analysis; evolutionary computation; fuzzy control; intelligent control; mathematical operators; control simulation; distance measures; elementary distance; elementary functions; evolutionary operators; fuzzy operators; similarity function; similarity measures; similarity study; Artificial neural networks; Computational intelligence; Computer networks; Evolutionary computation; Fuzzy neural networks; Fuzzy systems; Informatics; Machine intelligence; Mechanical engineering; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on
Conference_Location
Pusan
Print_ISBN
0-7803-7090-2
Type
conf
DOI
10.1109/ISIE.2001.931954
Filename
931954
Link To Document