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Meesariganda, B. R., & Ishizaka, A. (2017). Mapping verbal ahp scale to numerical scale for cloud computing strategy selection. Applied Soft Computing, 53, 111–118. Added by: Klaus D. Goepel (06 Jun 2019 06:37:34 Asia/Singapore) Last edited by: Klaus D. Goepel (08 Jun 2019 09:07:18 Asia/Singapore) |
| Resource type: Journal Article DOI: 10.1016/j.asoc.2016.12.040 BibTeX citation key: Meesariganda2017 Email resource to friend View all bibliographic details  |
Categories: AHP/ANP Keywords: Analytic Hierarchy Process (AHP), pairwise comparisons, scale, scale calibration Creators: Ishizaka, Meesariganda Publisher: Elsevier Collection: Applied Soft Computing |
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Analytic Hierarchy Process (AHP) is an established multi-criteria decision making method based on pairwise comparisons. Evaluations are given on a verbal scale and then converted into quantitative values for calculating the priorities of the criteria and alternatives. Several conversion scales have been proposed, which confuses the decision-maker. In order to select the best matching scale according to the mental representation of the verbal scale of each individual decision-maker, verbal scales are first used to compare alternatives with known measures, e.g. surface of figures. The best matching scale representing the real values is then selected. This AHP with individualised scales has been applied in a real case study to select cloud computing strategies.
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