System Analysis and Decision Making

The course is a substitute for:

System Modelling and Decision Making (E16SIR)
System Analysis and Decision Making (X16SIR)

Lecturer:

Tutor:

Supervisor:

Department of Economics, Management and Humanities

Synopsis:

System approach and decision making, Decision models, Games theory, Decision making under uncertainty and risk, Decisions with multiple objectives, Stochastic programming, Expert systems, Cluster analysis, System tasks (identification, decomposition, analysis)

Requirements:

Syllabus of lectures:

1. Overview, system approach

2. Decision making - definitions, classification, scales

3. Theory of games - methods of solution, typical applications

4. Decision making under risk and uncertainty - methods, applications

5. Multiobjective optimization - introduction, criteria weights

6. Discrete multiobjective tasks - basic methods, applications

7. Discrete multiobjective tasks - advanced methods

8. Multiobjective vector tasks - basic methods, applications

9. Multiobjective vector tasks - advanced methods

10. Stochastic programming - active and pasive methods

11. Expert methods

12. System identification

13. System decomposition

14. System analysis and system environment

Syllabus of tutorials:

1. Linear programming - overview

2. Decision making - typical tasks

3. Matrix games, methods of solution

4. Decision under risk and uncertainty, typical tasks, solution

5. Multiobjective optimization - typical tasks

6. Discrete multiobjective tasks - methods of solution

7. Goals definition and criteria

8. Multiobjective vector tasks - methods of solution

9. Case - multiobjective decision (team work)

10. Stochastic programming - methods of solution

11. Test

12. Expert methods - criteria weights

13. Expert methods - case (team work)

14. Software support for decision making

Study Objective:

Study materials:

1. Dennis, L.T., Dennis, B.L.: Management Science. St. Paul: West Publishing company 1991

2. Keeney, R.L., Raifa, H.: Decision with multiple objectives. New York: John Wiley & sons 1980

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Computer Science and Engineering (economic-management and humanities course)