{"title":"单位区间上非矩形的分解与构造","authors":"Yao Ouyang , Hua-Peng Zhang , Bernard De Baets","doi":"10.1016/j.fss.2024.109083","DOIUrl":null,"url":null,"abstract":"<div><p>By analyzing the behaviour of uninorms on the boundary of the unit square, we present decomposition theorems for uninorms, showing that a conjunctive (resp. disjunctive) uninorm can be decomposed into a disjunctive (resp. conjunctive) uninorm on an upper set (resp. a lower set) and a triangular subnorm (resp. superconorm) on a lower set (resp. an upper set). As an application of the decomposition theorems, we propose several construction methods for uninorms that are not internal on the boundary.</p></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decomposition and construction of uninorms on the unit interval\",\"authors\":\"Yao Ouyang , Hua-Peng Zhang , Bernard De Baets\",\"doi\":\"10.1016/j.fss.2024.109083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>By analyzing the behaviour of uninorms on the boundary of the unit square, we present decomposition theorems for uninorms, showing that a conjunctive (resp. disjunctive) uninorm can be decomposed into a disjunctive (resp. conjunctive) uninorm on an upper set (resp. a lower set) and a triangular subnorm (resp. superconorm) on a lower set (resp. an upper set). As an application of the decomposition theorems, we propose several construction methods for uninorms that are not internal on the boundary.</p></div>\",\"PeriodicalId\":55130,\"journal\":{\"name\":\"Fuzzy Sets and Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-07-18\",\"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/S016501142400229X\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Sets and Systems","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016501142400229X","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}
Decomposition and construction of uninorms on the unit interval
By analyzing the behaviour of uninorms on the boundary of the unit square, we present decomposition theorems for uninorms, showing that a conjunctive (resp. disjunctive) uninorm can be decomposed into a disjunctive (resp. conjunctive) uninorm on an upper set (resp. a lower set) and a triangular subnorm (resp. superconorm) on a lower set (resp. an upper set). As an application of the decomposition theorems, we propose several construction methods for uninorms that are not internal on the boundary.
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.