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Lecturer(s)
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Máchová Renáta, Ing. Ph.D.
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Course content
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Decision making and decision process. Approaches to decision making under certainty, risk and uncertainty. Multi-criteria decision making under certainty. Analytic hierarchy process. Eigenvectors, eigenvalues and decision consistency. Decision making under uncertainty and risk. Synthesis and analysis of multi-criteria decision making methods. Decision making and its computer support. Decision support technologies.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Preparation for an exam
- 50 hours per semester
- Contact teaching
- 52 hours per semester
- Home preparation for classes
- 48 hours per semester
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Learning outcomes
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The aim of the course is for students to gain theoretical knowledge in the field of decision theory and skills in designing algorithms for decision-making methods.
A student who has successfully completed the course is able to: define decision-making from a systems perspective, define and describe individual phases of the decision-making process, define the solution of the decision-making process, characterize and describe selected decision-making methods under certainty, risk and uncertainty. A student who has successfully completed the course is able to: solve simple decision-making tasks, recognize the correct method for solving the decision-making process, control the basic environment of the software used for decision support. A student who has successfully completed the course is able to: communicate information about selected decision-making methods to experts and laypeople in a clear manner, summarize and present the results achieved in the decision-making process in a clear manner.
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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
In the case of standard teaching: assigned: participation in exercisesof 75% compulsory (see guidelines), processing of assigned tasks for exercises, with a success rate above 60%, until the end of the teaching part of the semester. exam: written, oral The current changes will be published in moodle in the block each week. If you have any questions, please contact the teacher by e-mail, always add an abbreviation of the subject to the subject line.
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Recommended literature
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BRECHTA, Bohumil - GRASSEOVÁ, Monika, etc. Efektivní rozhodování: analyzování, rozhodování, implementace a hodnocení.. Brno: Edika, 2013. ISBN 978-80-266-0179-1.
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FOTR, J. - ŠVECOVÁ. L. etc. Manažerské rozhodování. Postupy, metody a nástroje. Ekopress, 2. vydání, 2010.
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FOTR, Jiří etc. Manažerské rozhodování. Praha: Ekopress, 2000. ISBN 8086119203.
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FOTR, Jiří. Manažerské rozhodování: postupy, metody a nástroje, 2006. Praha: Ekopress, 2006. ISBN 80-86929-15-9.
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Fotr, Jiří. Manažerské rozhodování: postupy, metody a nástroje. 2016. ISBN 978-80-87865-33-0.
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KŘUPKA J. - KAŠPAROVÁ M., etc. Rozhodovací procesy. Pardubice: Univerzita Pardubice, 2012. ISBN 978-80-7395-478-9.
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KŘUPKA, J.- OBRŠÁLOVÁ, I. etc. Assessment if Investment Alternatives in Environmental System based on Multiple Criteria Decision Making. In: Olej, V., Obrsalova, I., Krupka, J. (Eds.) Modelling of Selected areas of Sustainable Development by Artificial Intelligence and Soft Computing. Univerzita Pardubice: Grada Publishing, 2009, s. 133-150. ISBN 978-80-247-3167-4.
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RAMÍK, J. Analytic hierarchy process (AHP) v malám a středním podnikání. Opava, 2000. ISBN 807248088X.
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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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