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.

数据整理自公开网络的投稿反馈，仅供参考。