An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement
Meißner M, Decker R, Scholz S (2011)
Journal of Multi-Criteria Decision Analysis 17(5-6): 167-177.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Einrichtung
Abstract / Bemerkung
The Pairwise Comparison-based Preference Measurement (PCPM) approach has been proposed for products featuring a large number of attributes. In the PCPM framework, a static two-cyclic design is used to reduce the number of pairwise comparisons. However, adaptive questioning routines that maximize the information gained from pairwise comparisons promise to further increase the efficiency of this approach.
This paper introduces a new adaptive algorithm for pairwise comparison-based preference measurement, which accounts for several response errors. The suggested approach is compared to an adaptive algorithm which was proposed for the Analytic Hierarchy Process (AHP) as well as a random selection of pairwise comparisons. By means of Monte Carlo simulations, we quantify the extent to which the adaptive selection of pairwise comparisons increases the efficiency of the respective approach.
Stichworte
Preference measurement;
complex products;
Pairwise Comparison-based Preference Measurement (PCPM);
Analytic Hierarchy Process (AHP);
adaptive selection of pairwise comparisons
Erscheinungsjahr
2011
Zeitschriftentitel
Journal of Multi-Criteria Decision Analysis
Band
17
Ausgabe
5-6
Seite(n)
167-177
ISSN
1057-9214
Page URI
https://pub.uni-bielefeld.de/record/2495309
Zitieren
Meißner M, Decker R, Scholz S. An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement. Journal of Multi-Criteria Decision Analysis. 2011;17(5-6):167-177.
Meißner, M., Decker, R., & Scholz, S. (2011). An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement. Journal of Multi-Criteria Decision Analysis, 17(5-6), 167-177. https://doi.org/10.1002/mcda.461
Meißner, Martin, Decker, Reinhold, and Scholz, Sören. 2011. “An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement”. Journal of Multi-Criteria Decision Analysis 17 (5-6): 167-177.
Meißner, M., Decker, R., and Scholz, S. (2011). An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement. Journal of Multi-Criteria Decision Analysis 17, 167-177.
Meißner, M., Decker, R., & Scholz, S., 2011. An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement. Journal of Multi-Criteria Decision Analysis, 17(5-6), p 167-177.
M. Meißner, R. Decker, and S. Scholz, “An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement”, Journal of Multi-Criteria Decision Analysis, vol. 17, 2011, pp. 167-177.
Meißner, M., Decker, R., Scholz, S.: An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement. Journal of Multi-Criteria Decision Analysis. 17, 167-177 (2011).
Meißner, Martin, Decker, Reinhold, and Scholz, Sören. “An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement”. Journal of Multi-Criteria Decision Analysis 17.5-6 (2011): 167-177.