Multi-Objective Modeling and Simulation for Decision Report

Wierzbicki, A.P. (1992). Multi-Objective Modeling and Simulation for Decision Report. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-92-080

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Abstract

Modeling and simulation of various physical, environmental or socioeconomic processes is often a preliminary step for using the resulting models in decision support. With the advancements of computing technology and the methodology of decision support, it is now necessary to revise basic approaches to modeling and simulation: from the very beginning of model construction, they should aim at multi-objective analysis of the model while taking into account various optimization, sensitivity analysis and symbolic manipulation techniques treated as tools of such an analysis, not as goals. The paper illustrates how such an approach could increase the opportunities of comprehensive analysis of a model from a selected class -- as an example, the class of nonlinear dynamic discrete-time models was chosen. A user-friendly format of formulating such models is discussed together with related problems of inverse, constrained and multi-objective simulation as well as structural differentiation and sensitivity analysis, fuzzy set processing and other related issues. As a new tool for the analysis of boundaries of sets generated by such models -- for example. the a-level sets of fuzzy membership functions -- an interactive method of using an elastic "electronic pencil" is proposed.

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