Sufficient conditions for a Heuristic Rating Estimation Method application
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866913106995707904 |
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| author | Szybowski, Jacek Kułakowski, Konrad Mazurek, Jiri |
| author_facet | Szybowski, Jacek Kułakowski, Konrad Mazurek, Jiri |
| contents | A series of papers has introduced the Heuristic Rating Estimation method, which evaluates a set of alternatives based on pairwise comparisons and the weights of reference alternatives. We formulate the conditions under which the HRE method can be applied correctly. The research considers both arithmetic and geometric algorithms for complete and incomplete pairwise comparison methods. The illustrative examples show that the estimations of inconsistency in the arithmetic variant are optimal. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2605_08991 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Sufficient conditions for a Heuristic Rating Estimation Method application Szybowski, Jacek Kułakowski, Konrad Mazurek, Jiri Artificial Intelligence Econometrics A series of papers has introduced the Heuristic Rating Estimation method, which evaluates a set of alternatives based on pairwise comparisons and the weights of reference alternatives. We formulate the conditions under which the HRE method can be applied correctly. The research considers both arithmetic and geometric algorithms for complete and incomplete pairwise comparison methods. The illustrative examples show that the estimations of inconsistency in the arithmetic variant are optimal. |
| title | Sufficient conditions for a Heuristic Rating Estimation Method application |
| topic | Artificial Intelligence Econometrics |
| url | https://arxiv.org/abs/2605.08991 |