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Automatic Substitution of Prioritization Methods Preserving Information Integrity.

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Název: Automatic Substitution of Prioritization Methods Preserving Information Integrity.
Autoři: Mendes, Joao Batista1 (AUTHOR), Maia, Renato Dourado1,2 (AUTHOR), D'Angelo, Marcos Flávio Silveira Vasconcelos1,3 (AUTHOR), Silva, Iara Sibele2,4 (AUTHOR), Ekel, Petr Y.3 (AUTHOR), Libório, Matheus Pereira4 (AUTHOR)
Zdroj: Administrative Sciences (2076-3387). Nov2025, Vol. 15 Issue 11, p442. 14p.
Témata: *MULTIPLE criteria decision making, *PROJECT evaluation, *DATA integrity, ANALYTIC hierarchy process, PAIRED comparisons (Mathematics), EVALUATION methodology
Abstrakt: Companies face multi-criteria problems every day, such as prioritizing projects, investments, and suppliers. In this respect, the literature offers countless methods, some of which provide partial and flawed solutions. Therefore, identifying and replacing a flawed method with a more efficient one is fundamental. However, this replacement is not straightforward because each method has a different evaluation structure. More specifically, in this study, the Mapping method uses scoring evaluations, whereas the Analytic Hierarchy Process (AHP) uses pairwise comparisons. In other words, scoring evaluations are incompatible with pairwise comparison evaluations. This incompatibility prevents one method from being replaced by another without loss of information. This is a significant gap because the re-evaluation process is expensive, time-consuming, and may even be impossible if the experts are no longer available. This study presents a novel approach to automatically substitute prioritization methods without loss of information. The approach was applied to a real-world case involving forty-four Brazilian companies. The specific case shows the prioritization of four projects evaluated by scores, combined with three new projects evaluated by pairwise comparisons. The application of the approach offers specific and general contributions. For example, substituting prioritization methods without loss of information, such as the Mapping method with AHP. Flexibility in choosing the evaluation method that offers greater psychological comfort to the experts. Obtaining transitive pairwise comparison matrices independently of the number of new projects evaluated. [ABSTRACT FROM AUTHOR]
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Databáze: Business Source Index
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Abstrakt:Companies face multi-criteria problems every day, such as prioritizing projects, investments, and suppliers. In this respect, the literature offers countless methods, some of which provide partial and flawed solutions. Therefore, identifying and replacing a flawed method with a more efficient one is fundamental. However, this replacement is not straightforward because each method has a different evaluation structure. More specifically, in this study, the Mapping method uses scoring evaluations, whereas the Analytic Hierarchy Process (AHP) uses pairwise comparisons. In other words, scoring evaluations are incompatible with pairwise comparison evaluations. This incompatibility prevents one method from being replaced by another without loss of information. This is a significant gap because the re-evaluation process is expensive, time-consuming, and may even be impossible if the experts are no longer available. This study presents a novel approach to automatically substitute prioritization methods without loss of information. The approach was applied to a real-world case involving forty-four Brazilian companies. The specific case shows the prioritization of four projects evaluated by scores, combined with three new projects evaluated by pairwise comparisons. The application of the approach offers specific and general contributions. For example, substituting prioritization methods without loss of information, such as the Mapping method with AHP. Flexibility in choosing the evaluation method that offers greater psychological comfort to the experts. Obtaining transitive pairwise comparison matrices independently of the number of new projects evaluated. [ABSTRACT FROM AUTHOR]
ISSN:20763387
DOI:10.3390/admsci15110442