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Optimal and Near-Optimal Strategies in Discrete Stochastic Multiobjective Quasi-hierarchical Dynamic Problems

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Operations Research Proceedings 2015

Part of the book series: Operations Research Proceedings ((ORP))

Abstract

Multi-stage, multi-criteria discrete decision processes under risk are considered and Bellmans principle of optimality is applied. Quasi-hierarchy of multi-period criteria is determined by the decision maker. The aim of the paper is to propose an algorithm to solve quasi-hierarchical problem according to decision maker’s requirements. The process of obtaining the final solution is interactive.

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References

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Acknowledgements

This research was supported by National Science Centre, decision no DEC-2013/11/B/HS4/01471.

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Authors and Affiliations

  1. Faculty of Informatics and Communication, Department of Operations Research, University of Economics in Katowice, 1 Maja 50, 40-287, Katowice, Poland

    Maciej Nowak & Tadeusz Trzaskalik

Authors
  1. Maciej Nowak
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  2. Tadeusz Trzaskalik
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Corresponding author

Correspondence to Maciej Nowak .

Editor information

Editors and Affiliations

  1. Department of Business Administration, University of Vienna, Vienna, Austria

    Karl Franz Dörner

  2. Decision Sciences and Statistics (IDS) Department, ESSEC Business School of Paris, Cergy Pontoise Cedex, France

    Ivana Ljubic

  3. Department of Statistics and Operations Research, University of Vienna, Vienna, Austria

    Georg Pflug

  4. Operations Research and Control Systems, TU Wien, Vienna, Austria

    Gernot Tragler

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Nowak, M., Trzaskalik, T. (2017). Optimal and Near-Optimal Strategies in Discrete Stochastic Multiobjective Quasi-hierarchical Dynamic Problems. In: Dörner, K., Ljubic, I., Pflug, G., Tragler, G. (eds) Operations Research Proceedings 2015. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-42902-1_40

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