{"title":"最大-最小模糊关系不等式系统的最宽区间解的求解","authors":"Zhen-Zhen Chen , Yan-Kuen Wu , Xiao-Ming Li , Meng-Li Zhu","doi":"10.1016/j.fss.2025.109344","DOIUrl":null,"url":null,"abstract":"<div><div>The system of max-min fuzzy relational inequalities (FRI) was established to model the problems of instructional information resource allocation and peer-to-peer file-sharing systems. Considering the instability and fragility of the optimal solution, researchers design the widest-interval solution of the max-min FRI to allow the solution to fluctuate within a certain range. As a result, there are still numerous, or even infinite, widest-interval solutions in the system. To better demonstrate the differences among the various widest-interval solutions, this paper proposes the widest-interval solutions with the maximum width for the system. The widest-interval solutions with the maximum width, as its name indicates, have the largest interval width compared to other solutions. Consequently, it can contribute to the robust solution and stable system behavior. Built upon new theoretical insights, a novel solution method is developed to obtain widest-interval solutions with the maximum width. A numerical illustration is presented to demonstrate the detailed procedure of this method.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"509 ","pages":"Article 109344"},"PeriodicalIF":3.2000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solving on widest-interval solutions with the maximum width for a system of max-min fuzzy relational inequalities\",\"authors\":\"Zhen-Zhen Chen , Yan-Kuen Wu , Xiao-Ming Li , Meng-Li Zhu\",\"doi\":\"10.1016/j.fss.2025.109344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The system of max-min fuzzy relational inequalities (FRI) was established to model the problems of instructional information resource allocation and peer-to-peer file-sharing systems. Considering the instability and fragility of the optimal solution, researchers design the widest-interval solution of the max-min FRI to allow the solution to fluctuate within a certain range. As a result, there are still numerous, or even infinite, widest-interval solutions in the system. To better demonstrate the differences among the various widest-interval solutions, this paper proposes the widest-interval solutions with the maximum width for the system. The widest-interval solutions with the maximum width, as its name indicates, have the largest interval width compared to other solutions. Consequently, it can contribute to the robust solution and stable system behavior. Built upon new theoretical insights, a novel solution method is developed to obtain widest-interval solutions with the maximum width. A numerical illustration is presented to demonstrate the detailed procedure of this method.</div></div>\",\"PeriodicalId\":55130,\"journal\":{\"name\":\"Fuzzy Sets and Systems\",\"volume\":\"509 \",\"pages\":\"Article 109344\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-02-28\",\"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/S0165011425000831\",\"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/S0165011425000831","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}
Solving on widest-interval solutions with the maximum width for a system of max-min fuzzy relational inequalities
The system of max-min fuzzy relational inequalities (FRI) was established to model the problems of instructional information resource allocation and peer-to-peer file-sharing systems. Considering the instability and fragility of the optimal solution, researchers design the widest-interval solution of the max-min FRI to allow the solution to fluctuate within a certain range. As a result, there are still numerous, or even infinite, widest-interval solutions in the system. To better demonstrate the differences among the various widest-interval solutions, this paper proposes the widest-interval solutions with the maximum width for the system. The widest-interval solutions with the maximum width, as its name indicates, have the largest interval width compared to other solutions. Consequently, it can contribute to the robust solution and stable system behavior. Built upon new theoretical insights, a novel solution method is developed to obtain widest-interval solutions with the maximum width. A numerical illustration is presented to demonstrate the detailed procedure of this method.
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.