Course: Selected Chapters from Multi-Criteria Analysis

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Course title Selected Chapters from Multi-Criteria Analysis
Course code KST/DVKMA
Organizational form of instruction no contact
Level of course Doctoral
Year of study 2
Semester Winter and summer
Number of ECTS credits 20
Language of instruction Czech, English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Bažant Michael, doc. Ing. Ph.D.
Course content
Theoretical principles of multiple-criteria decision analysis and general multi-criteria evaluation of variants are introduced whether methods of evaluation scales and modelling preferences between criteria are also presented and are supposed to be implemented. The main topics of the course: *Theory of multiple-criteria decision analysis - basic concepts, nature of tasks, classification of tasks *General multi-criteria evaluation of variants - establishing a set of criteria, setting criteria weights, evaluating achieved results, risk assessment *Methods of evaluation of the multi-criteria evaluation of the variants - weighted sum method, ideal point method, TOPSIS method, etc. *Modeling of preferences between criteria - practical ways of gaining weight between criteria, weighting criteria, mathematical methods of weighting criteria

Learning activities and teaching methods
Dialogic (discussion, interview, brainstorming), Methods of individual activities, Laboratory work
Learning outcomes
Theoretical principles of multiple-criteria decision analysis and general multi-criteria evaluation of variants are introduced whether methods of evaluation scales and modelling preferences between criteria are also presented and are supposed to be implemented.

Prerequisites
unspecified

Assessment methods and criteria
Oral examination, Written examination, Home assignment evaluation

The student completes at least 3 consultations during the semester concerning the theoretical content of the course. The student will pass at least 1 consultations concerning the assigned practical problem. The student is supposed to create a software tool for quantitative support for decision making in selected application domain. The software tools must contain a relevant method from the area of multiple-criteria decision analysis
Recommended literature
  • FOTR, J., DĚDINA, J.:. Manažerské rozhodování Praha: Ekopress, 2003. Praha, 2003. ISBN 8090199178.
  • Saaty, Thomas L. Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process. 2000. ISBN 978-0962031762.
  • Saaty, Thomas L. Models, methods, concepts & applications of the analytic hierarchy process. New York: Springer Science+Business Media, 2012. ISBN 978-1-4614-3596-9.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester