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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/1017
Title: A graph-based approach for rule base maintenance
Authors: Higa, Kunihiko
Lee, Ho Geun
Keywords: Expert systems
Rule base maintenance
Issue Date: 1995
Citation: Proceedings of the Third International Conference on Decision Support Systems, Hong Kong, June 22-23, 1995, Hong Kong University of Science and Technology, Hong Kong, 1995, p. 3-12
Abstract: As conventional software systems have maintenance costs far exceeding development costs, so do rule-based expert systems. Any rule base for decision supports evolves over time. Most research works in expert systems have focused on building and validating rule bases, leaving the maintenance issue unexplored. We propose a graph-based approach, called Object Classification Model (OCM), as a methodology for the rule base (RB) maintenance. An experiment is conducted to compare the OCM with traditional rule base maintenance methods. The results verify that the OCM helps knowledge engineers to keep the RB integrity and to increase the RB maintainability.
URI: http://hdl.handle.net/1783.1/1017
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