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Ahp

In: Multiple Criteria Decision Aid

Author

Listed:
  • Jason Papathanasiou

    (University of Macedonia)

  • Nikolaos Ploskas

    (Carnegie Mellon University)

Abstract

The analytic hierarchy process is a widely used MCDA methodology proposed by Saaty (J Math Psychol 15(3):234–281, 1977; The analytic hierarchy process. McGraw-Hill, New York, 1980). AHP is based on the relative measurement theory, where we are not interested in the exact measurement of the alternatives performances over the criteria, but rather on the relative difference of one alternative over another. For instance, in the facility location problem used in previous chapters, we may not be able to evaluate the investment costs for the sites, but we may be able to make comparisons among the different sites (e.g., the investment costs in the first site are equally important to the investment costs in the second site). AHP is using pairwise comparisons between alternatives to produce a relative rating of the alternatives. It is best suited for cases where we are not interested in the precise scores of the alternatives, but on finding the best alternative. It has been successfully applied in various instances; for a comprehensive state of the art literature review refer to Vaidya and Kumar (Eur J Oper Res 169(1):1–29, 2006); Table 5.1, adopted from that reference, presents the distribution of papers on AHP by application areas.

Suggested Citation

  • Jason Papathanasiou & Nikolaos Ploskas, 2018. "Ahp," Springer Optimization and Its Applications, in: Multiple Criteria Decision Aid, chapter 0, pages 109-129, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-91648-4_5
    DOI: 10.1007/978-3-319-91648-4_5
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