DocumentCode :
477732
Title :
Determination of Fuzzy Logic Membership Functions Using Extended Ant Colony Optimization Algorithm
Author :
Jiang, Huan ; Deng, Huiwen ; He, Yingsi
Author_Institution :
Sch. of Comput. & Inf. Sci., Southwest China Univ., Chongqing
Volume :
1
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
581
Lastpage :
585
Abstract :
This paper provides a new approach for the optimum determination of membership functions for fuzzy inference system (FIS) based on the use of extended ant colony optimization (ACOR). Proposed method is implemented using Matlab for a single-input and single-output (SISO) FIS and extended for the multiple-input and single-output (MISO) FIS. Simulation results show that the proposed approach could be employed as a simple and effective optimization method for achieving optimum determination of membership functions.
Keywords :
fuzzy logic; fuzzy systems; inference mechanisms; optimisation; Matlab; extended ant colony optimization algorithm; fuzzy inference system; fuzzy logic; membership functions; Ant colony optimization; Computational modeling; Distribution functions; Fuzzy logic; Fuzzy systems; Genetic algorithms; Helium; Information science; Optimization methods; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.105
Filename :
4666043
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=477732
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