Abstract
We are concerned with the multi-criteria problem of how to choose the best item from a finite set of alternatives. We face such a decision problem when we want to attain a goal, and when none of the alternative tools for attaining it seems to be perfect. In general, we consider the alternatives from various viewpoints, and we estimate how well they enable us to attain the goal. Briefly speaking, we estimate the relative importance of the criteria, and we express it in numerical weights. Similarly, we estimate the relative importance of the alternatives under each of the criteria separately. Lastly, we aggregate the weights to obtain a final score for each alternative. With this information, we are in a position to rank and rate the alternatives, and to select the best compromise.
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© 1988 Springer-Verlag Berlin Heidelberg
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Lootsma, F.A. (1988). Numerical Scaling of Human Judgement in Pairwise-Comparison Methods for Fuzzy Multi-Criteria Decision Analysis. In: Mitra, G., Greenberg, H.J., Lootsma, F.A., Rijkaert, M.J., Zimmermann, H.J. (eds) Mathematical Models for Decision Support. NATO ASI Series, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_3
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DOI: https://doi.org/10.1007/978-3-642-83555-1_3
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