文章基本信息

标题：An Alternative Method for Fuzzy Regression: Fuzzy Radial Basis Function Network
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作者：Nimet Yapıcı Pehlivan ; Turan Paksoy ; Ching-Ter Chang 等
期刊名称：International Journal of Lean Thinking
电子版ISSN：2146-0337
出版年度：2010
卷号：1
期号：1
页码：1-15
出版社：Konya Teknokent, Selcuk University
摘要：In this paper, we develop a Fuzzy Radial Basis Function (FRBF) network to estimate the outputs of fuzzy regression models with crip inputs and fuzzy outputs. The proposed approach is a fuzzification of the outputs and weights between hidden-output units of conventional RBF network. The method is constructed on the basis of minimizing the square of the total difference between observed and estimated outputs or in other words minimizing the least square errors. The advantage of the proposed approach is its simplicity and computation as well as its performance. To compare the performance of the proposed method with the other traditional methods given in the literature; two numerical examples are present
关键词：Fuzzy sets;Fuzzy regression;Fuzzy radial basis function netwo