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.The journal is affiliated with the Society for Imprecise Probability: Theories and Applications (SIPTA), and Beliefs functions and Applications Society (BFAS).
《国际近似推理杂志》旨在作为一个讨论人工和计算智能中不精确和不确定性的论坛，涵盖不确定性理论的基础，以及科学和工程应用智能系统的设计。它发表了描述理论发展或创新应用的高质量研究论文，并就一般感兴趣的主题发表了评论文章。相关主题包括但不限于概率推理和贝叶斯网络、不精确概率、随机集、信念函数（dempster-shafer理论）、可能性理论、模糊集、粗糙集、决策理论、非加性测度和积分、不确定性定性推理、比较概率排序。博弈论概率论、缺省推理、非标准逻辑、论证系统、不一致容忍推理、启发式技术、不确定推理的哲学基础和心理学模型。不确定推理系统的应用领域包括风险分析与评估、信息检索与数据库设计、信息融合、机器学习、数据与网络挖掘、计算机视觉、图像与信号处理、智能数据分析、统计学、多代理系统等。该杂志隶属于不精确概率学会：理论与应用学会（SIPTA），以及信仰功能与应用学会（BFAS）。
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