Multiple-criteria Heuristic Rating Estimation
Anna K\k{e}dzior, Konrad Ku{\l}akowski

TL;DR
This paper extends the Heuristic Rating Estimation (HRE) method to incorporate multiple criteria within the Analytic Hierarchy Process (AHP) framework, enabling decision-making with known and unknown rankings across various criteria.
Contribution
It introduces a novel integration of HRE into the AHP hierarchical model, broadening its applicability for multi-criteria decision-making scenarios.
Findings
HRE can be effectively integrated into AHP for multiple criteria.
The extended model handles known and unknown rankings across criteria.
Illustrative examples demonstrate the method's practical use.
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMulti-Criteria Decision Making
