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Knowledge-Based Systems is a peer-reviewed academic journal covering computer science, with a particular focus on knowledge-based systems. It was established in 1987 and is published 24 times per year by Elsevier. The editor-in-chief is Jie Lu (University of Technology Sydney).
The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems was founded in 1993 [1] and is published bimonthly by World Scientific. It covers research on methodologies for the management of uncertainty.
International Journal of Software Engineering and Knowledge Engineering; International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems; International Journal of Wavelets, Multiresolution and Information Processing; International Journal of Web Services Research; International Journal of Wireless Information Networks
For academic journals published twice per month (24 times per year). ... Knowledge-Based Systems (journal) M. Mathematics (journal) Molecular Ecology (journal) ...
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems International Journal of Wavelets, Multiresolution and Information Processing International Journal on Artificial Intelligence Tools
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems.
An expert system is an example of a knowledge-based system. Expert systems were the first commercial systems to use a knowledge-based architecture. In general view, an expert system includes the following components: a knowledge base, an inference engine, an explanation facility, a knowledge acquisition facility, and a user interface. [48] [49]
To understand which are the best journals for a particular Information Systems (IS) field of study, one needs to understand that IS is a multidisciplinary research area and that the "IS discipline draws on the social science as well as the engineering research traditions.