The International Journal of Approximate Reasoning is dedicated to the dissemination of research results from the field of approximate reasoning and its applications, with emphasis on the design and implementation of intelligent systems for scientific and engineering applications. Approximate reasoning is computational modeling of any part of the process used by humans to reason about natural phenomena. The original purpose of the journal is to provide a forum for the treatment of uncertainty in Artificial Intelligence, and in particular in automated reasoning tasks. This scope includes, but is not limited to, original papers on fuzzy sets, Dempster-Shafer theory, multi-valued logics, probability, random sets, rough sets, etc. The scope of the journal has been extended to include new approaches and applications in the area of recognition technology and search. Hybrid soft computing systems - a synergistic consortium of fuzzy logic, neurocomputing, evolutionary computing, probabilistic computing and machine learning - play a key role in enhancing the capabilities of recognition systems. Similarly, Internet searches require flexible matching processes to provide useful results
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