Comparison of some aggregation techniques using group analytic hierarchy process

Grošelj, Petra (author), Zadnik Stirn, Lidija (author), Ayrilmis, Nadir (author), Kitek Kuzman, Manja (author)

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.

• Language: English
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: BF - Biotechnical Faculty
• Publication status: Published
• Publication version: Author Accepted Manuscript
• Year: 2015
• Number of pages: Str. 2198-2204
• Numbering: Vol. 42, no. 4
• PID: 20.500.12556/RUL-127138
• UDC: 630*6
• ISSN on article: 0957-4174
• DOI: 10.1016/j.eswa.2014.09.060
• COBISS.SI-ID: 2293897
• Publication date in RUL: 19.05.2021

Record is a part of a journal

• Title: Expert systems with applications
• Shortened title: Expert syst. appl.
• Publisher: Elsevier
• ISSN: 0957-4174
• COBISS.SI-ID: 171291

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
• Licensing start date: 13.10.2017

Secondary language

• Language: Slovenian
• Keywords: analitični hierarhični proces, lesene konstrukcije, večkriterijsko odločanje