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Aspiration-Led Decision Support Systems: Theory and Methodology

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Methodology, Implementation and Applications of Decision Support Systems

Part of the book series: CISM International Centre for Mechanical Sciences ((CISM,volume 320))

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Abstract

This paper presents a review of the theory and methodology of aspiration-led multi-objective decision support systems as developed during the last decade. After a short historical note on the development of decision analysis and multi-objective optimization, diverse ways of understanding the concept of rationality in decision analysis and support are discussed and the development of aspiration-led decision support systems (ALDSS) is outlined. Foundations of multi-objective optimization theory are reviewed and their relations to reference point optimization, achievement scalarizing functions and aspiration-led decision support are presented, together with their extensions to the problems of dynamics, uncertainty, multi-person decisions. Various aspects of methodology of aspiration-led decision support are discussed along with the description of theoretical results. Some further aspects, such as the phases of decision support, the questions of possible standards of model computerization, the issues of optimization tools, of interactive graphics for decision support, are only outlined. Instead of conclusions, topics for further studies are indicated.

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Authors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    A. P. Wierzbicki

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  1. A. P. Wierzbicki
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Editors and Affiliations

  1. Wayne State University, USA

    Andrzej Lewandowski

  2. University of Udine, Italy

    Paolo Serafini

  3. University of Brescia, Italy

    Maria Grazia Speranza

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© 1991 Springer-Verlag Wien

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Wierzbicki, A.P. (1991). Aspiration-Led Decision Support Systems: Theory and Methodology. In: Lewandowski, A., Serafini, P., Speranza, M.G. (eds) Methodology, Implementation and Applications of Decision Support Systems. CISM International Centre for Mechanical Sciences, vol 320. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2606-6_11

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  • DOI: https://doi.org/10.1007/978-3-7091-2606-6_11

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82297-5

  • Online ISBN: 978-3-7091-2606-6

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