Paper Info
Title
Insight of a fuzzy regression model
Abstract
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.
Year
DOI
Venue
2000
10.1016/S0165-0114(97)00375-8
Fuzzy Sets and Systems
Keywords
Field
DocType
fuzzy lineal regression,intrinsically linear,SST,SSR,SSE,IC,partial IC,forward selection
Regression,Regression analysis,Regression diagnostic,Nonparametric regression,Fuzzy logic,Proper linear model,Artificial intelligence,Fuzzy control system,Mathematics,Machine learning,Linear regression
Journal
Volume
Issue
ISSN
112
3
0165-0114
Citations 
PageRank 
References 
52
3.87
2
Authors
2
Name
Order
Citations
PageRank
Hsiao-Fan Wang127827.24
Ruey-chyn Tsaur213812.99