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Comparing aggregation methods in large-scale group AHP: time for the shift to distance-based aggregation

Duleba, Szabolcs and Szádoczki, Zsombor (2022) Comparing aggregation methods in large-scale group AHP: time for the shift to distance-based aggregation. EXPERT SYSTEMS WITH APPLICATIONS, 196. No. 116667. ISSN 0957-4174

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Abstract

This paper aims to compare the efficiency of the conventional aggregation methods and the new, distance-based aggregation techniques in simulated and real-world group AHP cases. For the comparison, we not only applied rank correlation methods, but also examined the compatibility among the individual priority vectors of the group and the created common priority vector in the different consensus creation approaches. Results have shown that in small dimensions, both Euclidean Distance-Based Aggregation Method (EDBAM) and Aitchison Distance-Based Aggregation Method (ADBAM) outperform significantly the conventional techniques. In large dimensions, the dominance of EDBAM remains. Since the computational time of the proposed methods (especially EDBAM) is low and EDBAM maintains its efficiency in large-scale group AHP (proven by 96.000 simulation cases) in every possible dimension within the AHP domain, we can state in case of high number of evaluators, distance-based aggregation is a better approach than the conventional methods.

Item Type: Article
Uncontrolled Keywords: Group AHP, Priority vector, Aggregation, Consensus creation, Rank correlation, Compatibility
Subjects: H Social Sciences / társadalomtudományok > HB Economic Theory / közgazdaságtudomány
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 12 Sep 2022 07:49
Last Modified: 12 Sep 2022 07:49
URI: http://real.mtak.hu/id/eprint/148282

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