Almost optimal manipulation of a pair of alternatives
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Abstract (arXiv)
The role of an expert in the decision-making process is crucial, as the final recommendation depends on his disposition, clarity of mind, experience, and knowledge of the problem. However, the recommendation also depends on their honesty. But what if the expert is dishonest? Then, the answer on how difficult it is to manipulate in a given case becomes essential. In the presented work, we consider manipulation of a ranking obtained by comparing alternatives in pairs. More specifically, we propose an algorithm for finding an almost optimal way to swap the positions of two selected alternatives. Thanks to this, it is possible to determine how difficult such manipulation is in a given case. Theoretical considerations are illustrated by a practical example.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 9 of its 60 references that are in the map. First posted on arXiv 6 Apr 2023.
Builds on
9 of 60 references.
References · 9
- 2019On the monotonicity of the eigenvector methodcited by 7
- 2017The (logarithmic) least squares optimality of the arithmetic (geometric) mean of weight vectors calculated from all spanning trees for incomplete additive (multiplicative) pairwise comparison matricescited by 4
- 2013Pairwise Comparisons Simplifiedcited by 3
- 2015Studying a set of properties of inconsistency indices for pairwise comparisonscited by 3
- 2021On the Derivation of Weights from Incomplete Pairwise Comparisons Matrices via Spanning Trees with Crisp and Fuzzy Confidence Levelscited by 3
- 2023Towards secure judgments aggregation in AHPcited by 3
- 2017Characterization of the row geometric mean ranking with a group consensus axiomcited by 2
- 2015Incomplete pairwise comparison matrices and weighting methodscited by 1
- 2021A gradient method for inconsistency reduction of pairwise comparisons matricescited by 1
Built on by
Citing papers per year: 2024: 2; 2025: 0; 2026: 1.
3 papers.
- 2024Establishing a leader in a pairwise comparisons methodcited by 0
- 2024Detection of decision-making manipulation in the pairwise comparisons methodcited by 0
- 2026Anchored Regularized Direct Least Squares (ARDLS): Integrating Established Prioritization Operators for Priority Elicitation in the Analytic Hierarchy Processcited by 0
- 2026Anchored Regularized Direct Least Squares (ARDLS): Integrating Established Prioritization Operators for Priority Elicitation in the Analytic Hierarchy Process21 Aug 2026
- 2024Detection of decision-making manipulation in the pairwise comparisons method26 May 2024
- 2024Establishing a leader in a pairwise comparisons method21 Mar 2024