On the Properties of the Priority Deriving Procedure in the Pairwise Comparisons Method
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Abstract (arXiv)
The pairwise comparisons method is a convenient tool used when the relative order of preferences among different concepts (alternatives) needs to be determined. There are several popular implementations of this method, including the Eigenvector Method, the Least Squares Method, the Chi Squares Method and others. Each of the above methods comes with one or more inconsistency indices that help to decide whether the consistency of input guarantees obtaining a reliable output, thus taking the optimal decision. This article explores the relationship between inconsistency of input and discrepancy of output. A global ranking discrepancy describes to what extent the obtained results correspond to the single expert's assessments. On the basis of the inconsistency and discrepancy indices, two properties of the weight deriving procedure are formulated. These properties are proven for Eigenvector Method and Koczkodaj's Inconsistency Index. Several estimates using Koczkodaj's Inconsistency Index for a principal eigenvalue, Saaty's inconsistency index and the Condition of Order Preservation are also provided.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Jan 2014.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 2.
4 papers.
- 2023Towards secure judgments aggregation in AHPcited by 3
- 2022Manipulation of individual judgments in the quantitative pairwise comparisons methodcited by 1
- 2024Establishing a leader in a pairwise comparisons methodcited by 0
- 2024Detection of decision-making manipulation in the pairwise comparisons methodcited by 0
- 2024Detection of decision-making manipulation in the pairwise comparisons method26 May 2024
- 2024Establishing a leader in a pairwise comparisons method21 Mar 2024
- 2023Towards secure judgments aggregation in AHP27 Mar 2023
- 2022Manipulation of individual judgments in the quantitative pairwise comparisons method1 Nov 2022