A Method of Variable Selection for Fuzzy Regression - the Possibility Approach
Year: 2011
Type: article
Abstract: A method of variable selection for fuzzy regression has been proposed. Using the method, the significance of fuzzy regression coefficients has been examined. The method presented is equivalent to the method of variable selection for classical regression based on an analysis of the confidence interval for their coefficients. Illustrative examples are presented. (original abstract)
Authors: Barbara Gładysz, Dorota Kuchta
Institution: Wrocław University of Science and Technology
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1518230619