Abstract
A multi-criteria decision-making model is presented in terms of system solution engineering applications. However, the model can also be used for many other multi-criteria decision-making applications in general. The model consists of a set of possibility integrals. A possibility integral is a nonlinear overall evaluation of two partial evaluations: the possibility measures of the degree of importance of each subset of all criteria and the function of the degrees of satisfaction of a solution to every criterion. The best system solution can be found by using the model to quantitatively evaluate alternative system solutions for the same set of customer system requirements (criteria). The best system solution is the one that has the highest degree of satisfaction to the requirements. The word “best” implies human judgment or subjectivity that is evolved in a decision-making process. The possibility theory induced from fuzzy sets provides a theoretical foundation for resolving decision-making problems with subjective and/or objective uncertainty. An example demonstrates how to use the model to find the best solution for a system solution engineering problem.
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