Algorithm for Option Number Selection in Stochastic Paired Comparison Models

In this paper, paired comparison models with a stochastic background are investigated and compared from the perspective of the option numbers allowed. As two-option and three-option models are the ones most frequently used, we mainly focus on the relationships between two-option and four-option models and three-option and five-option models, and then we turn to the general s- and (s+2)-option models. We compare them from both theoretical and practical perspectives; the latter are based on computer simulations. We examine, when it is possible, mandatory, or advisable how to convert four-, five-, and (s+2)-option models into two-, three-, and s-option models, respectively. The problem also exists in reverse: when is it advisable to use four-, five-, and (s+2)-option models instead of two-, three-, and s-option models? As a result of these investigations, we set up an algorithm to perform the decision process.

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Publication Details

Journal
Algorithms
Published
2024-09-14
DOI
https://doi.org/10.3390/a17090410
Citations
3
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
1.47
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article

Algorithm for Option Number Selection in Stochastic Paired Comparison Models

Éva Orbán-Mihálykó, Csaba Mihálykó, László Gyarmati
3 citations
Algorithms
Multi-Criteria Decision Making
1.47
article

Algorithm for Option Number Selection in Stochastic Paired Comparison Models

Éva Orbán-Mihálykó, Csaba Mihálykó, László Gyarmati
article en
3 citations

Abstract

In this paper, paired comparison models with a stochastic background are investigated and compared from the perspective of the option numbers allowed. As two-option and three-option models are the ones most frequently used, we mainly focus on the relationships between two-option and four-option models and three-option and five-option models, and then we turn to the general s- and (s+2)-option models. We compare them from both theoretical and practical perspectives; the latter are based on computer simulations. We examine, when it is possible, mandatory, or advisable how to convert four-, five-, and (s+2)-option models into two-, three-, and s-option models, respectively. The problem also exists in reverse: when is it advisable to use four-, five-, and (s+2)-option models instead of two-, three-, and s-option models? As a result of these investigations, we set up an algorithm to perform the decision process.

AlgorithmsVol. 17(9)
University of Pannonia (HU)
Openalex Percentile: Top 16%
Multi-Criteria Decision Making
1.47
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