Journal Title：International Journal Of Approximate Reasoning

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.

《國際近似推理雜志》旨在作為處理人工智能和計算機智能中的不精確性和不確定性的論壇，涵蓋不確定性理論的基礎以及用于科學和工程應用的智能系統的設計。它發表描述理論發展或創新應用的高質量研究論文，以及關于普遍感興趣主題的評論文章。

相關主題包括但不限于概率推理和貝葉斯網絡、不精確概率、隨機集、信念函數（Dempster-Shafer 理論）、可能性理論、模糊集、粗糙集、決策理論、非加性測度和積分、關于不確定性的定性推理、比較概率排序、博弈論概率、默認推理、非標準邏輯、論證系統、不一致性容忍推理、引出技術、不確定推理的哲學基礎和心理模型。

不確定推理系統的應用領域包括風險分析和評估、信息檢索和數據庫設計、信息融合、機器學習、數據和網絡挖掘、計算機視覺、圖像和信號處理、智能數據分析、統計、多智能體系統等。

International Journal Of Approximate Reasoning創刊于1987年，由Elsevier Inc.出版商出版，收稿方向涵蓋工程技術 - 計算機：人工智能全領域，此刊是中等級別的SCI期刊，所以過審相對來講不是特別難，但是該刊專業認可度不錯，仍然是一本值得選擇的SCI期刊 。平均審稿速度 約12月 約12.3周，影響因子指數3.2，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。