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A Multicriteria Decision Support System Framework for Computer Selection

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Exploring Intelligent Decision Support Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 764))

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Abstract

Nowadays, buying a computer for family use is a frequent practice, yet the wide variety of equipment that markets offer can be overwhelming. Each computer has its own characteristics and attributes, and some of such attributes—especially qualitative features—may be difficult to assess. This chapter presents a theoretical framework that allows families to evaluate computers from a multi-attribute perspective by using two techniques: the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The former is used to weight the attributes, whereas the latter is used to propose a solution. A case study is presented to illustrate the computer selection process performed by a four-member family on four alternatives by taking into account four quantitative attributes—cost, processor speed, RAM, and hard drive capacity—and two qualitative attributes—brand prestige and after-sales service. Our findings demonstrate that our AHP-TOPSIS approach is friendly to users, especially to non-expert users, since they can perform the evaluation process on their own.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Manufacturing, Universidad Autónoma de Ciudad Juárez, Av. del Charro 450 Norte, Ciudad Juárez, 32310, Chihuahua, Mexico

    Jorge Luis García-Alcaraz, Valeria Martínez-Loya & Liliana Avelar Sosa

  2. Department of Electric and Computational Sciences, Universidad Autónoma de Ciudad Juárez, Av. del Charro 450, Ciudad Juárez, 32310, Chihuahua, Mexico

    Roberto Díaz-Reza & Ismael Canales Valdiviezo

Authors
  1. Jorge Luis García-Alcaraz
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  2. Valeria Martínez-Loya
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  3. Roberto Díaz-Reza
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  4. Liliana Avelar Sosa
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  5. Ismael Canales Valdiviezo
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Corresponding author

Correspondence to Jorge Luis García-Alcaraz .

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Editors and Affiliations

  1. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  2. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

    Mario Andrés Paredes-Valverde

  3. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

    María del Pilar Salas-Zárate

  4. Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Orizaba, Veracruz, Mexico

    Giner Alor-Hernández

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García-Alcaraz, J.L., Martínez-Loya, V., Díaz-Reza, R., Sosa, L.A., Valdiviezo, I.C. (2018). A Multicriteria Decision Support System Framework for Computer Selection. In: Valencia-García, R., Paredes-Valverde, M., Salas-Zárate, M., Alor-Hernández, G. (eds) Exploring Intelligent Decision Support Systems. Studies in Computational Intelligence, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-74002-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-74002-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74001-0

  • Online ISBN: 978-3-319-74002-7

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