An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

Miguel Angel Ortiz Barrios (), Fabio De Felice (), Kevin Parra Negrete (), Brandon Aleman Romero (), Adriana Yaruro Arenas () and Antonella Petrillo
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Miguel Angel Ortiz Barrios: Universidad de la Costa, Department of Industrial Engineering, 58th Street # 55 - 66 Barranquilla, Colombia
Fabio De Felice: University of Cassino and Southern Lazio, Department of Civil and Mechanical Engineering, G. Di Biasio 43 Cassino, 03043, Italy
Kevin Parra Negrete: Universidad de la Costa, Department of Industrial Engineering, 58th Street # 55 - 66 Barranquilla, Colombia
Brandon Aleman Romero: Universidad de la Costa, Department of Industrial Engineering, 58th Street # 55 - 66 Barranquilla, Colombia
Adriana Yaruro Arenas: Universidad de la Costa, Department of Industrial Engineering, 58th Street # 55 - 66 Barranquilla, Colombia
Antonella Petrillo: University of Naples Parthenope, Department of Engineering, Isola C4 Centro Direzionale Napoli Napoli, 80143, Italy

International Journal of Information Technology & Decision Making (IJITDM), 2016, vol. 15, issue 04, 861-885

Abstract: Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

Keywords: Analytic hierarchy process (AHP); technique for order of preference by similarity to ideal solution (TOPSIS); multi-criteria decision making (MCDM); tomography; medical applications (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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DOI: 10.1142/S021962201640006X

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