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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2022
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2211.01809 |
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| _version_ | 1866912333157105664 |
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| author | Strada, M. Kułakowski, K. |
| author_facet | Strada, M. Kułakowski, K. |
| contents | Decision-making methods very often use the technique of comparing alternatives in pairs. In this approach, experts are asked to compare different options, and then a quantitative ranking is created from the results obtained. It is commonly believed that experts (decision-makers) are honest in their judgments. In our work, we consider a scenario in which experts are vulnerable to bribery. For this purpose, we define a framework that allows us to determine the intended manipulation and present three algorithms for achieving the intended goal. Analyzing these algorithms may provide clues to help defend against such attacks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2211_01809 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Manipulation of individual judgments in the quantitative pairwise comparisons method Strada, M. Kułakowski, K. Artificial Intelligence Discrete Mathematics Decision-making methods very often use the technique of comparing alternatives in pairs. In this approach, experts are asked to compare different options, and then a quantitative ranking is created from the results obtained. It is commonly believed that experts (decision-makers) are honest in their judgments. In our work, we consider a scenario in which experts are vulnerable to bribery. For this purpose, we define a framework that allows us to determine the intended manipulation and present three algorithms for achieving the intended goal. Analyzing these algorithms may provide clues to help defend against such attacks. |
| title | Manipulation of individual judgments in the quantitative pairwise comparisons method |
| topic | Artificial Intelligence Discrete Mathematics |
| url | https://arxiv.org/abs/2211.01809 |