Journal
FUZZY SETS AND SYSTEMS
Volume 112, Issue 3, Pages 355-369Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0165-0114(97)00375-8
Keywords
fuzzy lineal regression; intrinsically linear; SST; SSR; SSE; IC; partial IC; forward selection
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Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise, and variables are interacting in an uncertain, qualitative, and fuzzy way. Thus, it may have considerably practical applications in many management and engineering problems. But there is still lack of proper interpretation about fuzzy regression. In this paper, we provide an insight into regression intervals so that regression interval analysis, data type analysis and variable selections can be analytically performed. Numerical examples are provided for illustration. (C) 2000 Elsevier Science B.V. All rights reserved.
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