A WEIGHTED GOAL PROGRAMMING APPROACH TO FUZZY LINEAR REGRESSION WITH QUASI TYPE-2 FUZZY INPUT-OUTPUT DATA

A WEIGHTED GOAL PROGRAMMING APPROACH TO FUZZY LINEAR REGRESSION WITH QUASI TYPE-2 FUZZY INPUT-OUTPUT DATA

This study attempts to develop a regression model when both input data and output data are quasi type-2 fuzzy numbers. To estimate the crisp parameters of the regression model, a linear programming model is proposed based on goal programming. To handle the outlier problem, an omission approach is pr...

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Bibliographic Details
Main Authors: E.HOSSEINZADEH, H.HASSANPOUR, M.AREFI, M.AMAN
Format: Article
Language:English
Published: Isik University 2016-12-01
Series:TWMS Journal of Applied and Engineering Mathematics
Subjects:
fuzzy linear regression
goal programming
type-2 fuzzy set
uncertainty
quasi type-2 fuzzy number
Online Access:http://jaem.isikun.edu.tr/web/index.php/archive/92-vol6no2/250-a-weighted-goal-programming-approach-to-fuzzy-linear-regression-with-quasi-type-2-fuzzy-input-output-data

Internet

http://jaem.isikun.edu.tr/web/index.php/archive/92-vol6no2/250-a-weighted-goal-programming-approach-to-fuzzy-linear-regression-with-quasi-type-2-fuzzy-input-output-data

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