Toward optimal scaling in the method of abstract forces for interactive multiple criteria optimization

This paper presents a multiple criterion decision making model based on the Troutt-Hemming (1984) Method of Abstract Forces (MAF). The MAF is an interactive optimization method that allows the units of measurement of the various criteria to be different. The proposed method uses a scaling technique that adjusts for the diversity in impacts caused by the differences in the units of measurement of heterogeneous criteria. The method was tested by comparing solutions derived with it against solutions found with the more traditional what-if problem solving model. The MAF, with the scaling algorithm, was shown to be far superior to the what-if method in the application tested.

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