Title :
Modified Fuzzy Intelligence System
Author_Institution :
Nat. Tech. Univ. of Ukraine, Kyiv
fDate :
Feb. 28 2006-March 4 2006
Abstract :
In this paper the modification of fuzzy intelligence system and algorithm of fuzzy inference are proposed in such way that output of the fuzzy intelligence system is not only the value of problem variable, but also information about the input parameter, which influence is maximal.
Keywords :
fuzzy logic; fuzzy reasoning; fuzzy inference; fuzzy logic; membership function; modified fuzzy intelligence system; Decision making; Decoding; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Inference algorithms; Information analysis; Input variables; Intelligent systems; Natural languages; Fuzzy logic; fuzzy intelligence system; generalized tree of the logical inference; membership function; the fuzzy logical inference algorithm;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006. TCSET 2006. International Conference
Conference_Location :
Lviv-Slavsko
Print_ISBN :
966-553-507-2
DOI :
10.1109/TCSET.2006.4404569
