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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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1. System approach to decision-making (reality - system - model - decision). 2. Decision-making and the decision-making process. 3. Approaches to decision-making with certainty, risk and uncertainty. 4. Multi-criteria decision-making with certainty. 5. Pairwice comparisom methods. 6. Analytic hierarchy process. 7. Eigen values, eigen vectors and consistency. 8. Multi-criteria decision-making with uncertainty. 9. Group decision-making. 10. Decision making and software support. 11. Introduction to decision support systems.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Contact teaching
- 39 hours per semester
- Home preparation for classes
- 12 hours per semester
- Preparation for a credit (assessment)
- 16 hours per semester
- Preparation of a presentation (report)
- 12 hours per semester
- Independent critical reading
- 12 hours per semester
- Preparation for an exam
- 26 hours per semester
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Learning outcomes
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The aim of the course is to provide students with elementary theoretical knowledge in field of decision making and to build skills in the design and analysis of decision making algorithms.
The students will be able to mathematically express the decision-making problem and to select a suitable solution method that the stress is on multi-criteria decision-making with certainty and uncertainty. They will be able to develop an algorithm of this problem, based on which a "script" in MATLAB can then be designed.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Written examination, Home assignment evaluation, Work-related product analysis
Assignment is conditional to minimum attendance at seminars and completion of continuous tasks set at seminars, as well as passing the final test at the final seminar. Exam is oral or passing the final written test.
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Recommended literature
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CHANKONG, V. - HAIMES, Y. Y. Multiobjective Decision Making: Theory and methodology. Amsterdam: North-Holland, 1983.
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QUADE, E. S. Analysis for Public Decision. Third edition. New Jersey: Prentice Hall, 1989, 409s.. ISBN 0-13-052127-2.
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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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TURBAN, E.- ARONSON, J. E. Decision Support Systems and Intelligent Systems. 5th edition. New Jersey: Prentice-Hall, Inc. A Simon & Schuster Company, 1998. ISBN 0137409370.
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