157-0375/03 – Multicriteria Decision Making Methods (MVR)

Gurantor departmentDepartment of Systems EngineeringCredits4
Subject guarantordoc. Mgr. Ing. František Zapletal, Ph.D.Subject version guarantordoc. Mgr. Ing. František Zapletal, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory type B
Year1Semestersummer
Study languageEnglish
Year of introduction2020/2021Year of cancellation
Intended for the facultiesEKFIntended for study typesBachelor, Follow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
ZAP149 doc. Mgr. Ing. František Zapletal, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit 2+2

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:

MASRI, Hatem, PÉREZ-GLADISH, Blanca a ZOPOUNIDIS, Constantin. Financial decision aid using multiple criteria: recent models and applications. Multiple criteria decision making. Cham, Switzerland: Springer, 2018. ISBN 9783319688763. SINDHWANI, Rahul; SINGH, Punj Lata; KUMAR, Bhawna; MITTAL, Varinder Kumar a DAVIM, J. P. (ed.). Multi-criteria decision modelling: applicational techniques and case studies. Science, technology, and management series. Boca Raton: CRC Press, Taylor & Francis Group, 2022. ISBN 978-0-367-64558-8. THAKKAR, Jitesh J. Multi-criteria decision making. Studies in systems, decision and control, volume 336. Singapore: Springer, 2021. ISBN 978-981-33-4744-1.

Recommended literature:

ANDERSON, David Ray. Introduction to management science: quantitative approaches to decision making. 2nd ed. Andover: Cengage Learning, c2014. ISBN 978-1-4080-8840-1. DOUMPOS, Michael a ZOPOUNIDIS, Constantin. Multicriteria analysis in finance. SpringerBriefs in operations research. Cham: Springer, [2014]. ISBN 978-3-319-05863-4. EKEL, Petr; PEDRYCZ, Witold a PEREIRA, Joel. Multicriteria decision-making under conditions of uncertainty: a fuzzy set perspective. Hoboken, NJ: Wiley, 2020. ISBN 978-1-119-53492-1.

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

Full-time form (validity from: 2020/2021 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit Credit 100 (100) 51 3
        Credit Written test 100  51 2
Mandatory attendence participation: Students should attend at least 70% of seminars. Written credit test in the form of case study.

Show history

Conditions for subject completion and attendance at the exercises within ISP: Students should attend at least 70% of seminars. Written test in the form of case study.

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N0414A050002) Marketing and Business P English Ostrava 1 Choice-compulsory type B study plan
2020/2021 (N0414A050002) Marketing and Business P English Ostrava 1 Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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