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Generalized aggregation of fuzzy truth values

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Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal, Volume 324, Issue C

Pages 208 - 216

https://doi.org/10.1016/j.ins.2015.06.038

Published: 10 December 2015 Publication History

Abstract

We study generalized extended aggregation operations.We further discuss the equivalent expressions of partial orders and .The generalized extended aggregation operation is proven to be an FTV aggregation op- eration. This paper deals with generalized extended aggregation operations in accordance with generalized extension principle and provides a theoretical basis for generalized extended aggregation operations. Generalized extended aggregation operations are studied on the algebra of convex (resp. normal) fuzzy truth values. When an aggregation operation is continuous, the generalized extended aggregation operation is proven to be an aggregation operation on fuzzy truth values (FTV aggregation operation, for short) for arbitrary t-norm on the algebra of convex normal fuzzy truth values.

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Dan YHu BQiao J(2020)General L-fuzzy aggregation functions based on complete residuated latticesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-04642-824:5(3087-3112)Online publication date: 13-Jan-2020
https://dl.acm.org/doi/10.1007/s00500-019-04642-8

Generalized aggregation of fuzzy truth values
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

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Information Sciences: an International Journal Volume 324, Issue C

December 2015

310 pages

ISSN:0020-0255

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Elsevier Science Inc.

United States

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Published: 10 December 2015

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Dan YHu BQiao J(2020)General L-fuzzy aggregation functions based on complete residuated latticesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-04642-824:5(3087-3112)Online publication date: 13-Jan-2020
https://dl.acm.org/doi/10.1007/s00500-019-04642-8

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Type-2 implications on non-interactive fuzzy truth values

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