How to derive priorities in AHP: a comparative study

Alessio Ishizaka, Markus Lusti

    Research output: Contribution to journalArticlepeer-review

    965 Downloads (Pure)

    Abstract

    A heated discussion has arisen over the “best” priorities derivation method. Using a Monte Carlo simulation this article compares and evaluates the solutions of four AHP ratio scaling methods: the right eigenvalue method, the left eigenvalue method, the geometric mean and the mean of normalized values. Matrices with different dimensions and degree of impurities are randomly constructed. We observe a high level of agreement between the different scaling techniques. The number of ranking contradictions increases with the dimension of the matrix and the inconsistencies. However these contradictions affect only close priorities.
    Original languageEnglish
    Pages (from-to)387-400
    JournalCentral European Journal of Operations Research
    Volume14
    Issue number4
    DOIs
    Publication statusPublished - Dec 2006

    Fingerprint

    Dive into the research topics of 'How to derive priorities in AHP: a comparative study'. Together they form a unique fingerprint.

    Cite this