A LEAST ABSOLUTE APPROACH TO MULTIPLE FUZZY REGRESSION USING Tw- NORM BASED OPERATIONS
نویسنده
چکیده
A least absolute approach to multiple fuzzy regression using Tw-norm based arithmetic operations is discussed by using the generalized Hausdorff metric and it is investigated for the crisp inputfuzzy output data. A comparative study based on two data sets are presented using the proposed method using shape preserving operations with other existing method.
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