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A web-based software for group decision with analytic hierarchy process

The Analytic Hierarchy Process (AHP) is a multi-criteria decision support method and is widely applied in many areas. The original AHP method proposed by Thomas L. Saaty in the 1970s requires (n²-n)/2 comparisons. The number of required comparisons can make using this method challenging for maintain...

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Detalles Bibliográficos
Autores principales: Françozo, Rafael Verão, Junior, Luiz Sérgio Velasquez Urquiza, Carrapateira, Elana Souza, Pacheco, Bruna Cristine Scarduelli, Oliveira, Márcio Teixeira, Torsoni, Guilherme Botega, Yari, Jiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372897/
https://www.ncbi.nlm.nih.gov/pubmed/37519948
http://dx.doi.org/10.1016/j.mex.2023.102277
Descripción
Sumario:The Analytic Hierarchy Process (AHP) is a multi-criteria decision support method and is widely applied in many areas. The original AHP method proposed by Thomas L. Saaty in the 1970s requires (n²-n)/2 comparisons. The number of required comparisons can make using this method challenging for maintaining consistent judgments in problems involving many criteria and/or alternatives. Furthermore, the available software is platform-dependent and generally does not support group decision-making. In this paper, we present software for AHP that demands n-1 comparisons. Additionally, the software supports group decision-making using individual aggregation of priorities with arithmetic and geometric means. The system is available at http://ahpweb.net/ and is accessible from any internet-connected device. It currently has more than 100 users and dozens of decision problems in various areas. • The original AHP formulation requires (n²-n)/2 comparisons per cluster which makes it difficult to make consistent judgments. • AHP avaliable software does not enable group decision making. • The proposed system AHP-WEB fills these gaps. The method demands n-1 comparisons per cluster without any inconsistency and allows group decision making on a web system.