{"title":"Directly compatible copulas","authors":"Roberto Ghiselli Ricci","doi":"10.1016/j.fss.2025.109594","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we deal with the problem of preserving the copula property by means of a suitable composition of a multivariate copula with a bivariate one. A deep connection with a general method of construction of copulas, called distortion, is shown. The methodology is grounded in a general theorem connecting the <em>d</em>-increasingness property of a real function of <em>d</em>-variables to its partial derivatives. A characterization theorem is proved. Several examples are presented.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"521 ","pages":"Article 109594"},"PeriodicalIF":2.7000,"publicationDate":"2025-09-16","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/S0165011425003331","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
In this paper, we deal with the problem of preserving the copula property by means of a suitable composition of a multivariate copula with a bivariate one. A deep connection with a general method of construction of copulas, called distortion, is shown. The methodology is grounded in a general theorem connecting the d-increasingness property of a real function of d-variables to its partial derivatives. A characterization theorem is proved. Several examples are presented.
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.