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• W977884829 abstract "A method for hybrid fuzzy least-squares regression is developed in this paper. Input and output information is presented in the form of linguistic meanings of qualitative characteristics. A method of formalization of these meanings as (L - R) fuzzy numbers is developed by the authors. The method of regression’s creation is based on the transformation of the input and output fuzzy numbers into intervals, which are called weighted intervals. The proposed method extends a group of initial data membership functions as it can be applied not only to normalized triangular fuzzy numbers, but also to (L-R) fuzzy numbers. The numerical example has demonstrated that the developed hybrid regression model can be used for analysis of relations among qualitative characteristics with success." @default.
• W977884829 created "2016-06-24" @default.
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• W977884829 date "2010-01-01" @default.
• W977884829 modified "2023-09-25" @default.
• W977884829 title "Hybrid Fuzzy Least-Squares Regression Model for Qualitative Characteristics" @default.
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• W977884829 doi "https://doi.org/10.1007/978-3-642-11960-6_18" @default.
• W977884829 hasPublicationYear "2010" @default.
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