Comparison of some aggregation techniques using group analytic hierarchy process

•We presented and employed seven simple group AHP aggregation techniques.•The LW-AHP model was a well evaluated group AHP method.•For non-homogenous group we suggest to divide the group in smaller homogenous groups.•One of our new group methods, the WGM–WAM or the WGM–LW-AHP can be employed. Group d...

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Bibliographic Details
Published in:Expert systems with applications 2015-03, Vol.42 (4), p.2198-2204
Main Authors: Grošelj, Petra, Zadnik Stirn, Lidija, Ayrilmis, Nadir, Kuzman, Manja Kitek
Format: Article
Language:English
Subjects:
Agglomeration
Analytic hierarchy process
Arrays
Construction
Construction engineering
Criteria
Decision analysis
Decision making
Decision support systems
Expert systems
Fittings
Group decision making
Performance indices
Wood
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Summary:•We presented and employed seven simple group AHP aggregation techniques.•The LW-AHP model was a well evaluated group AHP method.•For non-homogenous group we suggest to divide the group in smaller homogenous groups.•One of our new group methods, the WGM–WAM or the WGM–LW-AHP can be employed. Group decision making is an important part of multiple criteria decision making and the analytic hierarchy process (AHP). The aim of this paper was to compare group AHP methods. Seven simple group AHP aggregation techniques that could be attractive for applications selected from the vast array of group AHP models proposed in the literature were selected for evaluation. We developed three new measures of evaluation: group Euclidean distance, group minimum violations, and distance between weights for the purpose of evaluation. The results of seven group AHP methods of the theoretical example were evaluated by three new evaluation measures, satisfactory index and fitting performance index. Furthermore, a case study of a decision making problem from the construction engineering field was performed and nine group AHP aggregation techniques, seven of them formerly presented and two new two stage group approaches were applied. Finally, the case study was evaluated using all five measures for each of the nine group decision making methods. The results showed that not all group AHP methods are equally convenient and that the selection of the method depended on the specific application.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2014.09.060