Detection of decision-making manipulation in the pairwise comparisons method
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Abstract (arXiv)
Most decision-making models, including the pairwise comparison method, assume the decision-makers honesty. However, it is easy to imagine a situation where a decision-maker tries to manipulate the ranking results. This paper presents three simple manipulation methods in the pairwise comparison method. We then try to detect these methods using appropriately constructed neural networks. Experimental results accompany the proposed solutions on the generated data, showing a considerable manipulation detection level.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 83 references that are in the map. First posted on arXiv 26 May 2024.
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11 of 83 references.
References · 11
- 2019On the monotonicity of the eigenvector methodcited by 7
- 2021Inconsistency thresholds for incomplete pairwise comparison matricescited by 5
- 2014On the Properties of the Priority Deriving Procedure in the Pairwise Comparisons Methodcited by 4
- 2015How to reduce the number of rating scale items without predictability loss?cited by 3
- 2018Axiomatizations of inconsistency indices for triadscited by 3
- 2023Towards secure judgments aggregation in AHPcited by 3
- 2023Almost optimal manipulation of a pair of alternativescited by 3
- 2013Axiomatic properties of inconsistency indices for pairwise comparisonscited by 2
- 2022Multiple-criteria Heuristic Rating Estimationcited by 2
- 2022A lexicographically optimal completion for pairwise comparison matrices with missing entriescited by 1
- 2022Manipulation of individual judgments in the quantitative pairwise comparisons methodcited by 1
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