{"title":"Hyperspace approach to relation-based neighborhood operators","authors":"Marian Przemski","doi":"10.1016/j.ijar.2025.109404","DOIUrl":null,"url":null,"abstract":"<div><div>Recently, new, subsequent versions of neighborhoods have been defined based on the concept of relation-based neighborhoods introduced by Y.Y. Yao. This article proposes a unified concept for investigations of such neighborhoods. This work presents the notion of hyper-neighborhood, which enables the investigation of the neighborhoods from the universe's perspective. As a result, we drive multiple equivalent characterizations of the types of neighborhoods that enable us to compare them and indicate the new, missing kinds of neighborhoods. Moreover, many kinds of neighborhoods defined in the literature on the issue proved to be identical. In particular, none of the types of recently defined so-called subset neighborhoods is new.</div></div>","PeriodicalId":13842,"journal":{"name":"International Journal of Approximate Reasoning","volume":"181 ","pages":"Article 109404"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-07","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/S0888613X25000453","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
Recently, new, subsequent versions of neighborhoods have been defined based on the concept of relation-based neighborhoods introduced by Y.Y. Yao. This article proposes a unified concept for investigations of such neighborhoods. This work presents the notion of hyper-neighborhood, which enables the investigation of the neighborhoods from the universe's perspective. As a result, we drive multiple equivalent characterizations of the types of neighborhoods that enable us to compare them and indicate the new, missing kinds of neighborhoods. Moreover, many kinds of neighborhoods defined in the literature on the issue proved to be identical. In particular, none of the types of recently defined so-called subset neighborhoods is new.
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.