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An interval-based approach to fuzzy regression for fuzzy input-output data

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4 Author(s)
Chachi, J. ; Dept. of Math. Sci., Isfahan Univ. of Technol., Isfahan, Iran ; Taheri, S.M. ; Pazhand, H.R. ; Geotechnical, M.

A novel approach is introduced to construct a fuzzy regression model when the data available of independent and dependent variables are fuzzy numbers. The approach, consisting on the least-squares method, uses the α-level sets of fuzzy observations to estimate the crisp parameters of the model. A competitive study shows the performance and efficiency of the proposed approach with respect to some well-known methods.

Published in:

Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

Date of Conference:

27-30 June 2011

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