Sublimation of various models results of multi-criteria analysis as a function of improvement of alternative rank relevance
Abstract: The selection of models for ranking and evaluation of solution variants (alternatives) is a multi-criteria problem, similar to the problems which are solved by its application. Since there is no ideal solution, but only an optimal one, it is clear that any chosen model will have certain, more or less extensive, drawbacks. In addition, results obtained by using various models are presented in different ways and are in different forms. Also, there is always a question of obtained results relevance due to the relativity of selected evaluation criteria. In this paper, a seemingly simple model is presented, which uses magnitude normalization of results obtained using at least three models of multi-criteria rank alternatives, and reduces them to comparable dimensions, and then determines the common result of all processes by sublimation, which greatly increases its relevance and reliability.
engleski
2015
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Keywords: Magnitude normalization, ranking of alternatives, decision tree, multi-criteria decision making