International Journal Of Approximate Reasoning

杂志介绍

International Journal Of Approximate Reasoning杂志介绍

《International Journal Of Approximate Reasoning》是一本以English为主的未开放获取国际优秀期刊，中文名称国际近似推理杂志，本刊主要出版、报道计算机科学-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为3.2，最新CiteScore 指数为6.9。

本刊近期中国学者发表的论文主要有：

• 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

英文介绍

International Journal Of Approximate Reasoning杂志英文介绍

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.