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- Title
A Regression Model for Fuzzy Initial Data.
- Authors
Domrachev, V. G.; Poleshuk, O. M.
- Abstract
A fuzzy combined linear regression model for fuzzy initial data, which are tolerant (L-R)-numbers with constraints on the functions L and R, is designed. The model is called combined since it is a combination of two regression models—a fuzzy model and a classical model. Its coefficients are determined as unimodal (L-R)-numbers. The solution method consists in determining weighted intervals for the tolerant (L-R)-numbers and then applying of the least-squares method.
- Subjects
REGRESSION analysis; MATHEMATICAL statistics; FUZZY mathematics; INTERVAL analysis; LEAST squares
- Publication
Automation & Remote Control, 2003, Vol 64, Issue 11, p1715
- ISSN
0005-1179
- Publication type
Academic Journal
- DOI
10.1023/A:1027322111898