Fuzzy Regression Model and Its Application: A Review

نویسنده

  • A. B. Ubale
چکیده

Fuzzy regression model has been widely used in recent years throughout the globe. In view of this, an attempt has been made in this research paper to present the review of fuzzy regression model for better estimation and prediction. The regression analysis is statistical tool used for prediction. As we know that the regression analysis follows Gaussian assumptions, sometimes dataset is too small and vague. In this situation fuzzy regression gives better results as compared to conventional tools. The present review is providing the information literature and recent methods developed by different Author. Also this review highlight on the work done by different authors in different field of linear programming problem on fuzzy least square & fuzzy interval estimation. The fuzzy regression models were providing better accuracy than conventional regression model. In view of this an attempt has been made in this paper to review recent work done in the field of fuzzy regression. The review has shown that majority of studies on fuzzy regression models with linear programming approach using different fuzzy numbers.

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تاریخ انتشار 2015