DESIGNING OPTIMAL FUZZY CLASSIFIER USING PARTICLE SWARM OPTIMIZATION

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ZAHIRI S.H.

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Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2013 | Volume:10 | Issue:2 Page(s): 126-133

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Title

DESIGNING OPTIMAL FUZZY CLASSIFIER USING PARTICLE SWARM OPTIMIZATION

Author(s)

ZAHIRI S.H. | Issue Writer Certificate

Keywords

PARTICLE SWARM OPTIMIZATIONQ3

FUZZY CLASSIFIERQ3

MEMBERSHIP FUNCTIONQ3

Abstract

An important issue in designing a FUZZY CLASSIFIER is setting its structural and mathematical fuzzy parameters (e.g. number of rules, antecedents, consequents, types and locations of MEMBERSHIP FUNCTIONs). In fact, the variations of these parameters establish a wide range high dimensional search space, which makes heuristic methods some suitable candidates to solve this problem (designing optimal fuzzy parameters). In this paper, a method is described for this purpose. In presented technique, all fuzzy parameters of a FUZZY CLASSIFIER, are interpreted in structure of particles and PSO algorithm is employed to find the optimal one. Extensive experimental results on well-known benchmarks and practical pattern recognition problem (automatic target recognition) demonstrate the effectiveness of the proposed method.

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APA: Copy

ZAHIRI, S.H.. (2013). DESIGNING OPTIMAL FUZZY CLASSIFIER USING PARTICLE SWARM OPTIMIZATION. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 10(2), 126-133. SID. https://sid.ir/paper/228439/en

Vancouver: Copy

ZAHIRI S.H.. DESIGNING OPTIMAL FUZZY CLASSIFIER USING PARTICLE SWARM OPTIMIZATION. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2013;10(2):126-133. Available from: https://sid.ir/paper/228439/en

IEEE: Copy

S.H. ZAHIRI, “DESIGNING OPTIMAL FUZZY CLASSIFIER USING PARTICLE SWARM OPTIMIZATION,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 10, no. 2, pp. 126–133, 2013, [Online]. Available: https://sid.ir/paper/228439/en

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