International Journal Of Approximate Reasoning

雜志介紹

International Journal Of Approximate Reasoning雜志介紹

《International Journal Of Approximate Reasoning》是一本以English為主的未開放獲取國際優秀期刊，中文名稱國際近似推理雜志，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為3.2，最新CiteScore 指數為6.9。

本刊近期中國學者發表的論文主要有：

• A three-way clustering method based on improved density peaks algorithm and boundary detection graph

  Author: Sun, Chen; Du, Mingjing; Sun, Jiarui; Li, Kangkang; Dong, Yongquan

• Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach

  Author: Shu, Wenhao; Yu, Jianhui; Yan, Zhenchao; Qian, Wenbin

• Spatial-temporal single object tracking with three-way decision theory

  Author: Wang, Ziye; Miao, Duoqian

• Rule acquisition in generalized multi-scale information systems with multi-scale decisions

  Author: Wu, Wei-Zhi; Niu, Dongran; Li, Jinhai; Li, Tong -Jun

英文介紹

International Journal Of Approximate Reasoning雜志英文介紹

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.