CONDITIONAL POST-SOLUTION ANALYSIS OF MULTIOBJECTIVE COMPROMISE DECISION SUPPORT PROBLEMS

Abstract

Design of systems involes Huljking a series of decision Decision Support is needed for improving the effectiveness of the designer. Decision support is provided using the Decision Support Problem Technique. It involves solving Decision Support Problems ( DSP^s) and oerformind cost-solution analysis. There are four types of DSP^s. This paper deals with the post-solution analysis of the compromise DSP^s only. Post-solution analysis deals with interpreting, and performing parametric and sensitivity analysis for the solution of the compromise DSP^s. The purpose of performing post-solution analysis is to transform information about the solution to knowledge about the DSP. The method of conditional post-solution analysis for linear, multi objective compromise DSP^s, and its extension to nonlinear problems, is discussed here. This approach is suitable for implementation of an expert system on the computer in conjunction with the existing solution software for compromise DSP^s. The technique is illustrated using the Two Coal Problem as an example.