{"title":"New results of (U,N)-implications satisfying I(r,I(s,t))=I(I(r,s),I(r,t))","authors":"Cheng Zhang , Feng Qin","doi":"10.1016/j.ijar.2024.109163","DOIUrl":null,"url":null,"abstract":"<div><p>Generalized Frege's law has been extensively explored by numerous scholars in the field of fuzzy mathematics, particularly within the framework of fuzzy logic. This study aims to further investigate the <span><math><mo>(</mo><mi>U</mi><mo>,</mo><mi>N</mi><mo>)</mo></math></span>-implications that satisfy this law and presents a multitude of novel findings. First, to efficiently determine the satisfiability of the generalized Frege's law for any <span><math><mo>(</mo><mi>U</mi><mo>,</mo><mi>N</mi><mo>)</mo></math></span>-implication, two new necessary conditions have been introduced that are simple and practical: for the fuzzy negation <em>N</em>, it must be noncontinuous, and its values in the interval <span><math><mo>[</mo><mn>0</mn><mo>,</mo><mi>e</mi><mo>]</mo></math></span> should remain the constant 1. Next, the necessary and sufficient conditions for any <span><math><mo>(</mo><mi>U</mi><mo>,</mo><mi>N</mi><mo>)</mo></math></span>-implication to satisfy the generalized Frege's law are provided. Several complete characterizations are described depending on the position of <em>α</em> in <span><math><mo>[</mo><mi>e</mi><mo>,</mo><mn>1</mn><mo>]</mo></math></span>. To be more specific, the full characterization is achieved when <span><math><mi>α</mi><mo>=</mo><mi>e</mi></math></span> (<span><math><mi>α</mi><mo>=</mo><mn>1</mn></math></span>) and a disjunctive uninorm with a continuous underlying t-norm (t-conorm). The necessary and sufficient conditions are presented when <span><math><mi>α</mi><mo>∈</mo><mo>]</mo><mi>e</mi><mo>,</mo><mn>1</mn><mo>[</mo></math></span> and <em>U</em> is a locally internal and disjunctive uninorm.</p></div>","PeriodicalId":13842,"journal":{"name":"International Journal of Approximate Reasoning","volume":"169 ","pages":"Article 109163"},"PeriodicalIF":3.2000,"publicationDate":"2024-03-12","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/S0888613X24000501","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
Generalized Frege's law has been extensively explored by numerous scholars in the field of fuzzy mathematics, particularly within the framework of fuzzy logic. This study aims to further investigate the -implications that satisfy this law and presents a multitude of novel findings. First, to efficiently determine the satisfiability of the generalized Frege's law for any -implication, two new necessary conditions have been introduced that are simple and practical: for the fuzzy negation N, it must be noncontinuous, and its values in the interval should remain the constant 1. Next, the necessary and sufficient conditions for any -implication to satisfy the generalized Frege's law are provided. Several complete characterizations are described depending on the position of α in . To be more specific, the full characterization is achieved when () and a disjunctive uninorm with a continuous underlying t-norm (t-conorm). The necessary and sufficient conditions are presented when and U is a locally internal and disjunctive uninorm.
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.