Fuzzy linear regression analysis for fuzzy input-output data
نویسندگان
چکیده
In this paper, we have presented a new method to evaluate fuzzy linear regression models based on Tanaka’s approach, where both input data and output data are fuzzy numbers, using Tw-based fuzzy arithmetic operations. This method simpli3es the computation of fuzzy arithmetic operations. General linear program is applied to derive the solutions. We also prove scale-independent property of our models and discuss the e6ects of outliers. c © 2001 Elsevier Science B.V. All rights reserved.
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ورودعنوان ژورنال:
- Fuzzy Sets and Systems
دوره 122 شماره
صفحات -
تاریخ انتشار 1992