The migrativity of grouping functions over fuzzy implications from generator functions

The migrativity of aggregation functions holds significant importance in fuzzy logic systems, and it has been found that migrativity is a worthwhile research issue both in application and theory. In the past few decades, the migrativity of some aggregation functions has been documented. However, the relationship between the generator fuzzy implications and grouping functions is still an open question. This paper aims to explore the migrativity of grouping functions with respect to fuzzy implications derived from generator functions. To be specific, we examine the migrativity of grouping functions over several particular generator fuzzy implications. From this novel perspective, we will present a multitude of new findings.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/iscait64916.2025.11010486
Citations
1
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
2.48

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article

The migrativity of grouping functions over fuzzy implications from generator functions

Xueping Zhang, Fengxia Zhang, Meiping Zhang, Mingfang Qin
1 citations
Fuzzy Logic and Control Systems
2.48
article

The migrativity of grouping functions over fuzzy implications from generator functions

Xueping Zhang, Fengxia Zhang, Meiping Zhang, Mingfang Qin
article en
1 citations

Abstract

The migrativity of aggregation functions holds significant importance in fuzzy logic systems, and it has been found that migrativity is a worthwhile research issue both in application and theory. In the past few decades, the migrativity of some aggregation functions has been documented. However, the relationship between the generator fuzzy implications and grouping functions is still an open question. This paper aims to explore the migrativity of grouping functions with respect to fuzzy implications derived from generator functions. To be specific, we examine the migrativity of grouping functions over several particular generator fuzzy implications. From this novel perspective, we will present a multitude of new findings.

Liaocheng University (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 10%
Fuzzy Logic and Control Systems
2.48
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