![]() For example, Fedrizzi and Giove proposed a method that minimizes a global inconsistency index in order to compute the optimal values for the missing comparisons. Hence, it is hard to underestimate the importance of pairwise comparisons in multi-criteria decision analysis.Īn equal of even greater amount of interest was generated by the optimal completion of incomplete PCM by optimizing quantities other than λ m a x. ![]() In addition to having been employed in the AHP, the technique of pairwise comparisons and some of its variants are currently used in other multi-criteria decision-making techniques as, for instance, multi-attribute utility theory the best-worst method ELECTRE PROMETHEE MACBETH and PAPRIKA. Such judgments on pairs are called pairwise comparisons and are widely used in a number of multiple-criteria decision-making methods as, for instance, the analytic hierarchy process (AHP) by Saaty. In this way, an originally complex problem was decomposed in many smaller and more tractable subproblems. In complex problems where the reference set can hardly be considered in its entirety, a divide and conquer approach can be helpful, so that judgments are expressed on pairs of alternatives or attributes and can then be combined to reach a global result (see, e.g., ). Due to its nature, in decision analysis, much of the information required by various models is represented by subjective judgments-very often representing preferences-expressed by one or more experts on a reference set. ![]() In this context, decision analysis can be seen as a set of formal tools which can help decision makers articulate their decisions in a more transparent and justifiable way. Increasingly complex decisions are being made everyday and especially in positions of high responsibility, they must be “defensible” in front of stakeholders. ![]()
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