雜志介紹

Fuzzy Sets And Systems雜志介紹

《Fuzzy Sets And Systems》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱模糊集和系統(tǒng)，本刊主要出版、報道數(shù)學(xué)-MATHEMATICS, APPLIED領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為3.2，最新CiteScore 指數(shù)為6.5。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Some notes on the switching points for the generalized Hukuhara differentiability of interval-valued functions

  Author: Qiu, Dong; Yu, Yan

• The topological structure of the set of fuzzy numbers with the supremum metric

  Author: Liu, Dongming; Yang, Zhongqiang; Zhao, Dongsheng

• On the structural stability for two-point boundary value problems of undamped fuzzy differential equations

  Author: Dai, Rui; Chen, Minghao

• Asynchronous fault detection filtering design for continuous-time T-S fuzzy affine dynamic systems in finite-frequency domain

  Author: Zhao, Rong; Liu, Lu; Feng, Gang

英文介紹

Fuzzy Sets And Systems雜志英文介紹

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.