AHP
Jason Papathanasiou and
Nikolaos Ploskas
Additional contact information
Jason Papathanasiou: University of Macedonia
Nikolaos Ploskas: Carnegie Mellon University
Chapter Chapter 5 in Multiple Criteria Decision Aid, 2018, pp 109-129 from Springer
Abstract:
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.
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-91648-4_5
Ordering information: This item can be ordered from
http://www.springer.com/9783319916484
DOI: 10.1007/978-3-319-91648-4_5
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().