• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.11a
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• pp.595-599
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• 2000

This paper describes an Axiomatic Design Process enhanced by the Combinative Index that represents combinative strength between function requirements and design parameters. This method combines the advantages of these two methods : 1) Combinative Index that represents combinative strength between function requirements and design parameters so that we clearly understand these information. 2) engineering specifications are categorized into strategies, constraints and Functional Requirements. In this paper, relationship of FR's and DP's is regarded as one in which uncertainty of information are fundamentally involved. In the reduction of problem with uncertainty, we propose an enhanced Axiomatic Design Process using Combinative Index.

• Korean Journal of Computational Design and Engineering
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• v.5 no.4
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• pp.319-326
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• 2000

Expert systems using uncertain and ambiguous knowledge are not of the recent interests about uncertainty problem for performing inference similar to the decision making of a human expert. Human factors on rule-based systems often involve uncertain information. Expert systems had been used the methods of conflict resolution in a rule conflict situation, but this methods not properly solved the rule conflict. If a human expert appends a new rule to an original rule base, the rule base rightly causes a rule conflict. In this paper, the problem of rule conflict is regarded as one in which uncertainty of information is fundamentally involved. In the reduction of problem with uncertainty, we propose an enhanced rule ordering method, which improve the rule ordering method using Dempster-Shafer theory. We also propose a combinative index, which involve human factors of experts decision making.