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Fuzzy normal regression model and related neural networks

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Abstract

A fuzzy normal regression model that takes normal fuzzy numbers as its elements for fuzzy sampling points is presented in this paper. This is a continuation of the author’s work in the paper [1]. The related fuzzy regression NN system makes the model more flexible in order to accommodate the renewing or refining of the sampling process. The essential ideas of fuzzy regression model and the related neural networks will be explained in a clear manner in this work using an application problem.

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  1. Department of Computer Information Systems, West Texas A&M University, Canyon, TX, 79016, USA

    R. Alex

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  1. R. Alex
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Correspondence to R. Alex.

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Alex, R. Fuzzy normal regression model and related neural networks. Soft Computing 8, 717–721 (2004). https://doi.org/10.1007/s00500-003-0337-4

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  • DOI: https://doi.org/10.1007/s00500-003-0337-4

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