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Handbook of Optimization pp 245–261Cite as

Multicriterial Projects Selection

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 38))

Abstract

Decision support system described here makes it possible to carry out multicriterial selection of hundreds of projects simultaneously, with tens of criterion functions with bivalent variables including polynomial ones and quotients of linear functions, and tens of resources limitations. Stewart’s idea [21] of the special scalarizing function based on the modified reference point approach, which has been hitherto applied for linear benefits and for balance criteria functions only, and its optimization by effective gradient method is used here in the situation described by Santhanam and Kyparisis [19], involving synergistic effects of second- and third-orders in benefit and cost criterion function, and in resource requirements respecting resource sharing and hierarchical contingency relationships among candidate projects. In addition, the system enables us making the dialogue of the solution in a way of adaptive creation of weights of criterion functions and also flexible projects portfolio changes. A test of efficiency is presented. Our method presented here has been published in [12].

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Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, Institute of Automation and Computer Science, Brno University of Technology, Technická 2, 616 69, Brno, Czech Republic

    Jindřich Klapka & Vítězslav Ševčík

  2. SAP CR, spol. s r.o., Holandská 6/8, 639 00, Brno, Czech Republic

    Petr Piňos

Authors
  1. Jindřich Klapka
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  2. Petr Piňos
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  3. Vítězslav Ševčík
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Corresponding author

Correspondence to Jindřich Klapka .

Editor information

Editors and Affiliations

  1. Technical University of Ostrava, 17. listopadu 15, Ostrava-Porub, 708 33, Czech Republic

    Ivan Zelinka

  2. , Faculty of Electrical Engineering and, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Václav Snášel

  3. Auburn, 98071, USA

    Ajith Abraham

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Klapka, J., Piňos, P., Ševčík, V. (2013). Multicriterial Projects Selection. In: Zelinka, I., Snášel, V., Abraham, A. (eds) Handbook of Optimization. Intelligent Systems Reference Library, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30504-7_10

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  • DOI: https://doi.org/10.1007/978-3-642-30504-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30503-0

  • Online ISBN: 978-3-642-30504-7

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