Rule-Based Post Solution Analysis of Decision Support Problems: Some Preliminary Results
The design of systems involves making a series of decisions. Decision support is needed for improving the effectiveness of the designer as a decision maker. A hybrid approach for decision support, using rule-based mathemeti cal programming has been proposed. A prototype, decision support problem technique for design of engineering systems has been successfully developed, implemented and validated at the University of Houston. The technique involves identifying, formulating and solving and validating a number of independent and dependent Decision Support Problems (DSP’s). The solution phase of the technique uses methematical progromming whereas the formulation and post-solution phases are rule-based. This paper deals with the initial results of the rule-based post-solution analysis.
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