Labeled Fuzzy Reactive Graphs

IF 3.2 1区数学 Q2 COMPUTER SCIENCE, THEORY & METHODS

Fuzzy Sets and Systems Pub Date : 2025-03-05 DOI:10.1016/j.fss.2025.109320

Suene Campos , Daniel Figueiredo , Manuel A. Martins , Regivan Santiago

引用次数: 0

Abstract

The topic of fuzzy and relation-changing structures have been progressively explored through the authors' previous work. This paper continues to expand the range of application for these models by introducing Labeled Fuzzy Reactive Graphs. This structure admits labels in regular edges, in order to permit to describe the action of different agents. For such structures, the operations of union, intersection and threshold are presented. Subsequently, this structure is applied to model a cancer treatment protocol and it is shown how the relation-changing properties of this structure can be used to better describe the dynamics of the modelled protocol.

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标记模糊反应图

模糊和关系变化结构的主题已经通过作者以前的工作逐步探索。本文通过引入标记模糊反应图来继续扩展这些模型的应用范围。这种结构允许在规则的边缘上标记，以便允许描述不同主体的行为。对于这类结构，给出了并、交、阈值运算。随后，该结构被应用于癌症治疗方案的建模，并展示了如何使用该结构的关系变化特性来更好地描述建模方案的动力学。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Fuzzy Sets and Systems 数学-计算机：理论方法

CiteScore

6.50

自引率

17.90%

发文量

321

审稿时长

6.1 months

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.