Clusters and pivots for evaluating a large numberof alternatives in AHP

AUTOR(ES)

Ishizaka, Alessio

FONTE

Pesquisa Operacional

DATA DE PUBLICAÇÃO

08/03/2012

RESUMO

AHP has been successful in many cases but it has a major limitation: a larger number of alternatives requires a high number of judgements in the comparison matrices. In order to reduce this problem,we present a method with clusters and pivots. This method also helps with a further four problems of the Analytic Hierarchy Process. It enlarges the comparison scale, facilitates the construction of a consistent or near consistent matrix, eliminates the problem of the choice of the priorities derivation method and allows the use of incomparable alternatives.

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