157-0375/02 – Multicriteria Decision Making Methods (MVR)
| Gurantor department | Department of Systems Engineering and Informatics | Credits | 4 |
| Subject guarantor | doc. Mgr. Ing. František Zapletal, Ph.D. | Subject version guarantor | doc. Mgr. Ing. František Zapletal, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory type B |
| Year | 1 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | EKF | Intended for study types | Bachelor, Follow-up Master |
Subject aims expressed by acquired skills and competences
The course is focused on description and application of multi-criteria decision making methods. Students will learn how to solve various discrete decision making problems under different assumptions (certainty x risk x uncertainty, decision making with a single decision maker, group decision making), different input data types, etc. The first part of the course is devoted to non-conflict decision making (without any opponent) and the second part to conflict decision making (game theory). Students should be able to analyze a problem, use a suitable method and find the best decision with respect to the given aim.
Teaching methods
Lectures
Tutorials
Summary
Students should be able to define basic terminology at the decision-making theory, specify approaches to solving the decision-making problems, describe the structure of the decision-making process, are able to recognize the decision making under certainty, uncertainty and risk and apply these methods to real-life problems.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Consultations.
Written case study.
E-learning
Other requirements
Written test in the form of case study. Proactive approach at lectures and seminars.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Introduction to decision making, decision making process, classification of problems.
2. Decision trees and their application.
3. Decision rules for decision making under risk and uncertainty.
4. Criteria weighting - pointing method, pair-wise comparison.
5. Criteria weighting - Saaty's method.
6. Multi-criteria decision making methods - WSA method, TOPSIS method.
7. Multi-criteria decision making methods - Analytical Hierarchy Process.
8. Multi-criteria decision making methods - PROMETHEE method, Even-Swap method
9. Biases in decision making.
10. Game theory - introduction and classification.
11. Game theory - matrix games.
12. Game theory - mixed strategies for matrix games.
13. Game theory - bi-matrix games.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction