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Properties of certain fuzzy linear regression methods. (English) Zbl 0842.62057

Summary: Fuzzy linear regression was originally introduced by H. Tanaka, S. Uejima, and K. Asai [IEEE Trans. Syst. Man. Cybern. 12, 903-907 (1982; Zbl 0501.90060)]. In subsequent years, several different approaches to fuzzy linear regression have been proposed. The purpose of this paper is to review and examine some of these formulations, to discuss their strengths and weaknesses relative to each other, and to suggest possible improvements. In addition, we compare and contrast these methods to the method of ordinary least squares regression.

MSC:

62J05 Linear regression; mixed models
62J99 Linear inference, regression

Citations:

Zbl 0501.90060
Full Text: DOI

References:

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