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Modeling Knowledge: Model-based Decision Support and Soft Computations

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Applied Decision Support with Soft Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 124))

Abstract

This chapter provides an overview of model-based support for modern decision making. It starts with discussing basic elements of decision making process, including characteristics of complex decision problems, concepts of rationality, and various requirements for model-based support at different stages of decision making process. Then the characteristics of models, and of modeling processes aimed at decision-making support for complex problems are presented. In this part guidelines for model specification and instantiation are illustrated by an actual complex model. This is followed by a discussion of modern methods of model analysis, which include a more detailed discussion of reference point optimization methods, and an outline of methods for sensitivity analysis, and of softly constrained inverse simulation. Finally, an overview of architecture of model-based decision support system is presented.

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Authors and Affiliations

  1. International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria

    Marek Makowski

  2. National Institute of Telecommunication, ul. Szachowa 1, 04-894, Warsaw, Poland

    Andrzej P. Wierzbicki

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  1. Marek Makowski
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  2. Andrzej P. Wierzbicki
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Editors and Affiliations

  1. Faculty of Engineering, Royal Melbourne Institute of Technology, GPO Box 2476V, 3001, Melbourne, VIC, Australia

    Xinghuo Yu

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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Makowski, M., Wierzbicki, A.P. (2003). Modeling Knowledge: Model-based Decision Support and Soft Computations. In: Yu, X., Kacprzyk, J. (eds) Applied Decision Support with Soft Computing. Studies in Fuzziness and Soft Computing, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37008-6_1

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  • DOI: https://doi.org/10.1007/978-3-540-37008-6_1

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