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- W1597006957 abstract "In this paper, we study the problem of least-squares multiple regression with fuzzy data, that is to find a symmetry triangular fuzzy number A0 and real numbers β1,...,β(subscript m) that minimize observation error d^2 (Y, A0 ⊕ β1 ⊙ X1 ⊕ ... ⊕ β(subscript m) X(subscript m)), where X(subscript i) and Y are fuzzy data. By applying symmetric triangular approximations of fuzzy numbers, a new method for determining A0 and β1,...,β(subscript m) is proposed." @default.
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- W1597006957 date "2011-09-01" @default.
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- W1597006957 title "Applying Symmetric Triangular Approximations to Fuzzy Linear Regression Analysis" @default.
- W1597006957 doi "https://doi.org/10.6148/ijitas.2011.04.03.05" @default.
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