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Sistem tutorial cerdas berbasis fuzzy genetik

Fuzzy controlled system performance depends on its membership functions and fuzzy rules. Therefore, system parameter adjustment is required to obtain optimal results. In this research, genetic algorithm is used for tuning membership function parameters of input variable in a fuzzy controlled system that has been used in previous research as a part of an intelligent tutoring system. The goal of our reseurch is to determine membership function parameters in order to obtain optimal results. Experiment shows that genetic algorithm is be able to perform membership functions parameter tuning to give better performance.

Ketersediaan

Informasi Detail

Judul Seri

Integral;Vol.10 No.2 Juli 2005

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p.89-98

Bahasa

ISBN/ISSN

-

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

ALGORITHM
GENETIC
FUZZY CONTROL SYSTEM

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Mewati Ayub [et.al]

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