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Reflections on DS/AHP: Lessons to Be Learnt

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Belief Functions: Theory and Applications (BELIEF 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8764))

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Abstract

DS/AHP is a technique for multi-criteria decision making (MCDM), based on the Dempster-Shafer Theory of evidence (DST) and the Analytic Hierarchy Process (AHP). Since its introduction it has been developed and applied by a number of authors, as well as form the foundation for other DST related MCDM techniques. This paper reviews the evolution and impact of DS/AHP, culminating in a critical perspective, over relevant criteria, namely i) Ease of understanding, ii) A champion, iii) Software development and iv) Its pertinent development, for its position in the area of MCDM. The critical perspective will include the impacting role DST has had in the evolution of DS/AHP. The lessons learnt, or not learnt, will be of interest to any reader undertaking research with strong influence from DST-based methodologies.

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Author information

Authors and Affiliations

  1. Cardiff Business School, Cardiff University, Colum Drive, Cardiff, CF10 3EU, Wales, UK

    Malcolm J. Beynon

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  1. Malcolm J. Beynon
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Editors and Affiliations

  1. Department of Computing and Communications Technologies, Oxford Brookes University, Wheatley Campus, OX33 1HX, Oxford, UK

    Fabio Cuzzolin

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Beynon, M.J. (2014). Reflections on DS/AHP: Lessons to Be Learnt. In: Cuzzolin, F. (eds) Belief Functions: Theory and Applications. BELIEF 2014. Lecture Notes in Computer Science(), vol 8764. Springer, Cham. https://doi.org/10.1007/978-3-319-11191-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-11191-9_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11190-2

  • Online ISBN: 978-3-319-11191-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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