[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/IJFIS.2006.6.2.138

Optimal Fuzzy Models with the Aid of SAHN-based Algorithm

Lee Jong-Seok (Dept. of Radiotechnology, Wonkwang Health Science College)
Jang Kyung-Won (Dept. of Electrical Electronic and Information Eng., Wonkwang University)
Ahn Tae-Chon (Dept. of Electrical Electronic and Information Eng., Wonkwang University)

Publication Information

International Journal of Fuzzy Logic and Intelligent Systems / v.6, no.2, 2006 , pp. 138-143 More about this Journal

Abstract

In this paper, we have presented a Sequential Agglomerative Hierarchical Nested (SAHN) algorithm-based data clustering method in fuzzy inference system to achieve optimal performance of fuzzy model. SAHN-based algorithm is used to give possible range of number of clusters with cluster centers for the system identification. The axes of membership functions of this fuzzy model are optimized by using cluster centers obtained from clustering method and the consequence parameters of the fuzzy model are identified by standard least square method. Finally, in this paper, we have observed our model's output performance using the Box and Jenkins's gas furnace data and Sugeno's non-linear process data.

Keywords

SAHN based algorithm; Fuzzy inference system; Membership; Standard least square method;

Citations & Related Records

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