A novel method for the selection of expert systems using case-based reasoning
by Babita Pandey, R.B. Mishra
International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESDP), Vol. 1, No. 2, 2009

Abstract: The selection of expert system shell (ES shell) and web-based expert system (WBES) is an important issue in their design and development. Very few literatures depict the methods for selection of stand alone or WBES. We have developed a CBR approach which considers some processes of CBR such as knowledge representation, acquisition, retrieval, learning and adaptation. A table is prepared that show the components of knowledge based system (KBS) in ES shell; KBS components and web services and languages in WBES. A simple query (binary) is used to gather and store the user requirements in the form of user data vector (UDV). ANN and heuristic methods are deployed forlearning and adaptation of a new case. The matched results show the confidence in selecting a particular ES shell and WBES and their corresponding component. The shells with maximum and near by unity confidence are selected.

Online publication date: Sun, 25-Jan-2009

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