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A SIMPLE METHOD FOR EVALUATION OF FUZZY LINEAR REGRESSION MODELS BY ORDINARY LEAST- SQUARES METHOD

Publish place: 38th Annual Iranian Mathematics Conference
Publish Year: 1386
Type: Conference paper
Language: English
View: 1,903

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Link to this Paper:
https://civilica.com/doc/57121

Document National Code:

AIMC38_269

Index date: 18 August 2008

A SIMPLE METHOD FOR EVALUATION OF FUZZY LINEAR REGRESSION MODELS BY ORDINARY LEAST- SQUARES METHOD abstract

In this study, we have introduced a simple method for eveluation of fuuzy regression model. The method is a modification of Kim and Bishus method appeared in fuzzy Sets and Systems 100 (1998) 343-352 in wich, they tried to close the membership function of observed and estimated responses, but their method sometimes dose not product acceptable coefficients for fuzzy linear regression model.

A SIMPLE METHOD FOR EVALUATION OF FUZZY LINEAR REGRESSION MODELS BY ORDINARY LEAST- SQUARES METHOD Keywords:

Fuzzy number , Least-squares regression , Fuzzy linear regression

A SIMPLE METHOD FOR EVALUATION OF FUZZY LINEAR REGRESSION MODELS BY ORDINARY LEAST- SQUARES METHOD authors

H HASSANPUR

Faculty of Math. And Computer sciences, shahid bahonar University of kerman. Iran

H.R MALEKI

Faculty of Math. And Computer sciences, shahid bahonar University of kerman. Iran