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• W1513184056 abstract "This work aims to develop a practical study of the uninorms as rule antecedent aggregation operator family in Linguistic Fuzzy Modeling. Although they are well known from a theoretical point of view, they have only recently been introduced in a few specific and recent applications. Uninorms are parameterized operators that combine the membership values in the antecedent in a more flexible way than the classically employed tnorms. Therefore, we carried out an in-depth experimental study with six of them, using 23 regression problems of different size and complexity, and reached some conclusions." @default.
• W1513184056 created "2016-06-24" @default.
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• W1513184056 date "2015-01-01" @default.
• W1513184056 modified "2023-09-23" @default.
• W1513184056 title "Study on the use of uninorm aggregation operators in linguistic fuzzy modeling" @default.
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• W1513184056 doi "https://doi.org/10.2991/ifsa-eusflat-15.2015.92" @default.
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