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1. Fuzzy reasoning full implication algorithms based on a class of interval-valued t-norms and its applications.

Author

Luo, Minxia, Zhao, Ruirui, and Liang, Jingjing

Subjects
*FUZZY sets, *TRIANGULAR norms, *PATTERN recognition systems, *ALGORITHMS
Abstract

In this paper, we focus on parametric interval-valued full implication algorithms. The interval-valued full implication algorithms based on a class of interval-valued t-norms with parameters are proposed. Meanwhile, the [ a , b ] -type interval-valued full implication algorithms based on a class of interval-valued t-norms with parameters are introduced. Furthermore, the solutions of these algorithms are given. Finally, the proposed algorithms are applied to pattern recognition. [ABSTRACT FROM AUTHOR]

Published
2024
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