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Your search keyword '"Luo, Minxia"' showing total 3 results
Start Over Author "Luo, Minxia" Topic algorithms Topic triangular norms
3 results on '"Luo, Minxia"'

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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2. Interval-valued fuzzy reasoning full implication algorithms based on the t-representable t-norm.

Author

Luo, Minxia and Wang, Yajing

Subjects
*TRIANGULAR norms, *FUZZY sets, *ALGORITHMS, *INFORMATION processing
Abstract

Interval-valued fuzzy reasoning plays a vital role in intelligent systems with the performance of effectively reducing the loss of fuzzy information and reflecting the vagueness and uncertainty in information processing. However the existing reasoning algorithms were developed based on some special interval-valued t-norms which limits the usability and adaptation of these algorithms. This study proposes general reasoning algorithms on the basis of interval-valued fuzzy sets, that is the interval-valued fuzzy reasoning triple I algorithms based on the left-continuous t -representable t -norm T T 1 , T 2 . Furthermore, the interval-valued R -type triple I solutions of the interval-valued fuzzy reasoning triple I algorithms are given. We show that the proposed algorithms possess the reducibility. Finally, some robustness results of the interval-valued fuzzy reasoning triple I algorithms based on the left-continuous interval-valued t -representable t -norm are proved. [ABSTRACT FROM AUTHOR]

Published
2020
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3. Interval-valued fuzzy reasoning algorithms based on Schweizer–Sklar t-norms and its application.

Author

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

Subjects
*TRIANGULAR norms, *FUZZY algorithms, *DIAGNOSIS, *FUZZY sets, *ALGORITHMS
Abstract

Based on the normalized Minkowski distance in Hausdorff metrics, we study the sensitivity of interval-valued Schweizer-Sklar t-norms and their corresponding residual implications. Moreover, we investigate the robustness of interval-valued fuzzy reasoning triple I algorithms based on Schweizer–Sklar operators and illustrate the feasibility of the algorithms by a numerical example. Finally, the interval-valued fuzzy reasoning triple I algorithms are applied to medical diagnosis. [ABSTRACT FROM AUTHOR]

Published
2020
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