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Multiple-criteria Heuristic Rating Estimation

Artificial Intelligence 2022-05-24 v1 Discrete Mathematics

Abstract

One of the most widespread multi-criteria decision-making methods is the Analytic Hierarchy Process (AHP). AHP successfully combines the pairwise comparisons method and the hierarchical approach. It allows the decision-maker to set priorities for all ranked alternatives. But what if, for some of them, their ranking value is known (e.g., it can be determined differently)? The Heuristic Rating Estimation (HRE) method proposed in 2014 tried to bring the answer to this question. However, the considerations were limited to a model that did not consider many criteria. In this work, we go a step further and analyze how HRE can be used as part of the AHP hierarchical framework. The theoretical considerations are accompanied by illustrative examples showing HRE as a multiple-criteria decision-making method.

Keywords

Cite

@article{arxiv.2205.10428,
  title  = {Multiple-criteria Heuristic Rating Estimation},
  author = {Anna Kędzior and Konrad Kułakowski},
  journal= {arXiv preprint arXiv:2205.10428},
  year   = {2022}
}

Comments

24 pages, 2 figures

R2 v1 2026-06-24T11:23:57.427Z