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The Profile Distance Method: Towards More Intuitive Multiple Criteria Decision Making in Information Systems

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Book cover Database and Expert Systems Applications (DEXA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6261))

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Abstract

This paper seeks to improve usability and semantics of complex decision support based on multiple criteria and data envelopment analysis using the profile distance method. We recognize the need of decision making practice for more intuitive and understandable decision support in complex and comprehensive settings by proposing three areas for improvement. We suggest a more meaningful indicator of organizational fit, an advanced and dynamic multi-dimensional visualization, and embed support for weight estimation with pairwise comparisons into the method. The methodological advancements are shortly illustrated for an Information System selection problem.

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Author information

Authors and Affiliations

  1. School of Management, Royal Holloway, University of London, Egham, TW20 0EX, United Kingdom

    Edward Bernroider

  2. Institute for Information Business, Vienna University of Business and Economics, Augasse 2-6, 1090, Wien, Austria

    Nikolaus Obwegeser & Volker Stix

Authors
  1. Edward Bernroider
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  2. Nikolaus Obwegeser
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  3. Volker Stix
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Editor information

Editors and Affiliations

  1. DeustoTech Computing, University of Deusto, Avda. Universidades, 24, 48007, Bilbao, Spain

    Pablo García Bringas

  2. Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, 118, route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  3. Faculty of Computer Science, Department of Distributed Systems and Multimedia Systems, University of Vienna, Liebiggasse 4/3-4, 1010, Vienna, Austria

    Gerald Quirchmayr

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© 2010 Springer-Verlag Berlin Heidelberg

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Bernroider, E., Obwegeser, N., Stix, V. (2010). The Profile Distance Method: Towards More Intuitive Multiple Criteria Decision Making in Information Systems. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds) Database and Expert Systems Applications. DEXA 2010. Lecture Notes in Computer Science, vol 6261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15364-8_16

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  • DOI: https://doi.org/10.1007/978-3-642-15364-8_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15363-1

  • Online ISBN: 978-3-642-15364-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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