Tianlong Zhang , Kuanyun Zhu , Jingru Wang , Deng Pan
{"title":"Characterizations of some classes of generated implication solutions to the cross-migrativity","authors":"Tianlong Zhang , Kuanyun Zhu , Jingru Wang , Deng Pan","doi":"10.1016/j.fss.2025.109375","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on the cross-migrativity between grouping functions and the (<em>g</em>, min)-implications generated by additive generators of continuous Archimedean t-conorms and the <span><math><msup><mrow><mi>h</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></math></span>-implications introduced by generalized additive generators of representable uninorms. In addition, we show that (<span><math><mi>g</mi><mo>,</mo><mi>min</mi></math></span>)-implications and <span><math><msup><mrow><mi>h</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></math></span>-implications do not belong to any of the classes known <span><math><mo>(</mo><mi>S</mi><mo>,</mo><mi>N</mi><mo>)</mo><mo>−</mo><mo>,</mo><mi>R</mi><mo>−</mo><mo>,</mo><mi>Q</mi><mi>L</mi><mo>−</mo></math></span>, generalized-<em>h</em>, <em>h</em>-generated, Yager's <em>f</em>- and <em>g</em>-implications. In particular, we establish a series of necessary and sufficient conditions for the cross-migrativity of the grouping functions and several particular types of generated implications (i.e., <em>h</em>-generated implications, <em>k</em>-generated implications, (<span><math><mi>g</mi><mo>,</mo><mi>min</mi></math></span>)-implications and <span><math><msup><mrow><mi>h</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></math></span>-implications) by using the multiplicative (additive) generators and ordinal sums of grouping functions, the distributive laws and contraction law between grouping functions and fuzzy implications, and study a broader connection between grouping functions and generated implications.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"511 ","pages":"Article 109375"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Sets and Systems","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165011425001149","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper focuses on the cross-migrativity between grouping functions and the (g, min)-implications generated by additive generators of continuous Archimedean t-conorms and the -implications introduced by generalized additive generators of representable uninorms. In addition, we show that ()-implications and -implications do not belong to any of the classes known , generalized-h, h-generated, Yager's f- and g-implications. In particular, we establish a series of necessary and sufficient conditions for the cross-migrativity of the grouping functions and several particular types of generated implications (i.e., h-generated implications, k-generated implications, ()-implications and -implications) by using the multiplicative (additive) generators and ordinal sums of grouping functions, the distributive laws and contraction law between grouping functions and fuzzy implications, and study a broader connection between grouping functions and generated implications.
期刊介绍:
Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.
In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.