{"title":"An extension of overlap functions on convolution lattices","authors":"Zhi-qiang Liu","doi":"10.1016/j.ijar.2025.109360","DOIUrl":null,"url":null,"abstract":"<div><div>Up to now, overlap functions have been expanded into various domains, becoming a significant research topic. The study of extended aggregation operations within a lattice-theoretic structure has garnered momentous interest. In this paper, applying Zadeh's extension principle, we extend overlap functions to convolution lattices. More specifically, (i) we introduce three concepts of extended overlap functions, namely <em>Z</em>-quasi-overlap functions, <em>Z</em>-overlap functions, and <span><math><mi>C</mi><msub><mrow><mi>E</mi></mrow><mrow><mi>L</mi></mrow></msub></math></span>-<em>Z</em>-overlap functions; (ii) we present some useful properties of extended overlap functions on the set of lattice functions; (iii) we apply these properties to show that an extended overlap function is a <span><math><msub><mrow><mn>0</mn></mrow><mrow><mi>δ</mi></mrow></msub></math></span>-<em>Z</em>-overlap function on convolution lattices, providing domain lattice is complete and co-domain lattice a frame. Last but not least, we anticipate that these findings will apply to the general lattice-theoretic framework for type-2 fuzzy systems, and to various areas of soft computing that involve fuzzy logic connectives in type-2 fuzzy sets.</div></div>","PeriodicalId":13842,"journal":{"name":"International Journal of Approximate Reasoning","volume":"179 ","pages":"Article 109360"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Approximate Reasoning","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888613X25000015","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Up to now, overlap functions have been expanded into various domains, becoming a significant research topic. The study of extended aggregation operations within a lattice-theoretic structure has garnered momentous interest. In this paper, applying Zadeh's extension principle, we extend overlap functions to convolution lattices. More specifically, (i) we introduce three concepts of extended overlap functions, namely Z-quasi-overlap functions, Z-overlap functions, and -Z-overlap functions; (ii) we present some useful properties of extended overlap functions on the set of lattice functions; (iii) we apply these properties to show that an extended overlap function is a -Z-overlap function on convolution lattices, providing domain lattice is complete and co-domain lattice a frame. Last but not least, we anticipate that these findings will apply to the general lattice-theoretic framework for type-2 fuzzy systems, and to various areas of soft computing that involve fuzzy logic connectives in type-2 fuzzy sets.
期刊介绍:
The International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest.
Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning.
Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc.