AIDMMay 20, 2022

Multiple-criteria Heuristic Rating Estimation

arXiv:2205.10428v15 citationsh-index: 15
Originality Synthesis-oriented
AI Analysis

This work provides an incremental improvement for decision-makers using multi-criteria methods by integrating HRE into AHP to handle scenarios with known ranking values.

The paper tackles the problem of extending the Heuristic Rating Estimation (HRE) method to handle multiple criteria within the Analytic Hierarchy Process (AHP) framework, demonstrating its application through illustrative examples.

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.

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