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Lecturer(s)
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Křupka Jiří, doc. Ing. PhD.
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Course content
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Complex systems and cybernetic concepts. Soft and Hard systems. Nonlinear control systems, adaptive control systems, optimization options. Multi-criteria decision analysis. Decision making using the "Rule-Based Reasoning", "Case-Based Reasoning" and "Rough Sets Theory."
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Learning activities and teaching methods
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unspecified, Work with text (with textbook, with book), Methods of individual activities
- Contact teaching
- 12 hours per semester
- Independent critical reading
- 40 hours per semester
- Writing a seminar paper
- 20 hours per semester
- Preparation for an exam
- 40 hours per semester
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Learning outcomes
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The goal is to doctoral students: understand the need for an interdisciplinary approach to the study of systems, problem solving complexity and internal dependencies between elements of the system, the theoretical knowledge gained in the field of systems theory, management and decision-making - especially in complex systems.
PhD students will be able to use the system approach for problem formulation, decomposition and formalization. They are able to design and analyze models of different classes of complex systems.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Creative work analysis
Students will process a work independently within the scope of a research paper in this course. The topic of the paper is in relation to the specific topic of the dissertation thesis.
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Recommended literature
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Carlsson, Christer. Fuzzy reasoning in decision making and optimization. Heidelberg: Physica-Verlag, 2002. ISBN 3-7908-1428-8.
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Doumpos, Michael. Multicriteria decision aid and artificial intelligence : links, theory and applications. Chichester: John Wiley & Sons, 2013. ISBN 978-1-119-97639-4.
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Kou, Gang. Data processing for the AHP/ANP. Berlin: Springer-Verlag, 2013. ISBN 978-3-642-29212-5.
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Pal, Sankar K. Foundations of soft case-based reasoning. Hoboken: Wiley-Interscience, 2004. ISBN 0-471-08635-5.
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Saaty, T. L. The Analytic Hierarchy Process. New York: McGraw-Hill International Book Company, 1980. ISBN 0070543712.
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Shinners, Stanley M. Modern control system theory and design. New York: John Wiley & Sons, 1998. ISBN 0-471-24906-8.
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Slowinski R. (ed.). Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory. Dordrecht: Kluwer Academic Publisher, 1992.
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Turban, Efraim. Decision support and business inteligence systems. Upper Saddle River: Pearson Prentice Hall, 2007. ISBN 0-13-198660-0.
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Turban, Efraim. Decision support systems and intelligent systems. Upper Saddle River: Pearson Education, 2005. ISBN 0-13-046106-7.
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Watson, Ian D. Applying case-based reasoning : techniques for enterprise systems. San Francisco: Morgan Kaufmann, 1997. ISBN 1-55860-462-6.
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