Title :
Most and less similar fuzzy operators
Author :
Szakal, Aniko ; Rincz, K.L.
Author_Institution :
John von Neumann Fac. of Inf., Budapest Polytech., Hungary
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;
Conference_Titel :
Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on
Conference_Location :
Pusan
Print_ISBN :
0-7803-7090-2
DOI :
10.1109/ISIE.2001.931954
