Module also offered within study programmes:
General information:
Name:
Decision-making methods
Course of study:
2019/2020
Code:
ZSDA-3-0089-s
Faculty of:
Szkoła Doktorska AGH
Study level:
Third-cycle studies
Specialty:
-
Field of study:
Szkoła Doktorska AGH
Semester:
0
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
Kułakowski Konrad (kkulak@agh.edu.pl)
Dyscypliny:
automatyka, elektronika i elektrotechnika, informatyka, informatyka techniczna i telekomunikacja, matematyka, nauki o zarządzaniu i jakości
Module summary

During the course the student will have the opportunity to learn the basic expert decision-making techniques.

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence: is able to
M_K001 Student will learn to think critically and critically evaluate the sourronding reality SDA3A_K01
M_K002 The course will allow the student to take an active attitude in the scientific society, assess phenomena and achievements SDA3A_K02
Skills: he can
M_U001 Student would be able to construct simple and complex decision models and use them to solve every day decision problems. SDA3A_U01 Activity during classes
Knowledge: he knows and understands
M_W001 Student gets the knowledge on expert based decision-making methods SDA3A_W06, SDA3A_W01 Activity during classes
Number of hours for each form of classes:
Sum (hours)
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Prace kontr. przejść.
Lektorat
30 14 0 0 0 0 16 0 0 0 0 0
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Prace kontr. przejść.
Lektorat
Social competence
M_K001 Student will learn to think critically and critically evaluate the sourronding reality + - - - - + - - - - -
M_K002 The course will allow the student to take an active attitude in the scientific society, assess phenomena and achievements + - - - - - - - - - -
Skills
M_U001 Student would be able to construct simple and complex decision models and use them to solve every day decision problems. + - - - - + - - - - -
Knowledge
M_W001 Student gets the knowledge on expert based decision-making methods + - - - - + - - - - -
Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 90 h
Module ECTS credits 3 ECTS
Udział w zajęciach dydaktycznych/praktyka 30 h
Preparation for classes 15 h
przygotowanie projektu, prezentacji, pracy pisemnej, sprawozdania 30 h
Realization of independently performed tasks 15 h
Module content
Lectures (14h):

1) Decision-making methods panorama; Decision-making methods vs. voting systems, History of decision methods: Llull voting systems, Condorcet, Fechner, Thurstone. Social choice and welfare theory. Pairwise comparisons.
2) Introduction to AHP – Analytic Hierarchy Process, principles and basic algorithms
3) AHP – deepening I. Various priority deriving methods for complete and incomplete sets of pairwise comparisons
4) AHP – deepening II. Inconsistency of data. AHP criticism and open problems.
5) HRE – Heuristic Rating Estimation – ranking estimation based on existing ranking data
6) Outranking methods: ELECTRE and PROMETHEE. French school of decision-making methods
7) MACBETH – better AHP, introduction and principles
8) Ordinal pairwise comparisons and inconsistency – Kendall coefficient

Seminar classes (16h):

Sample topics covered by the seminaries
1) BWM – Best Worst Method
2) MAUT – Multiattribute Utility Theory
3) UTA Methods
4) Envelopment analysis
5) Uncertainty and MCDM – Fuzzy AHP
6) Multiobjective Programming
7) Dominance-based Rough Set Approach (DRSA)
8) Multiple Criteria Decision Analysis and Sustainable Development
9) MCDM in Finance – portfolio optimization problem
10) Linear programming and MCDM

Additional information
Teaching methods and techniques:
  • Lectures: lectures
  • Seminar classes: presentations given by students
Warunki i sposób zaliczenia poszczególnych form zajęć, w tym zasady zaliczeń poprawkowych, a także warunki dopuszczenia do egzaminu:

compulsory attendance at seminaries, compulsory attendance at all but three lectures

Participation rules in classes:
  • Lectures:
    – Attendance is mandatory: No
    – Participation rules in classes: compulsory attendance at some number of lectures announced at the beginning of the course
  • Seminar classes:
    – Attendance is mandatory: Yes
    – Participation rules in classes: compulsory attendance
Method of calculating the final grade:

based on the given presentation during seminaries

Sposób i tryb wyrównywania zaległości powstałych wskutek nieobecności studenta na zajęciach:

colloquium with the lecture content and compulsory presentation

Prerequisites and additional requirements:

basic information in mathematics including linear algebra, mathematical analysis and graph theory.

Recommended literature and teaching resources:

- Multiple Criteria Decision Analysis: State of the Art Surveys, Figueira, Greco, Ehrgot

Scientific publications of module course instructors related to the topic of the module:
  • Konrad Kułakowski, Jiří Mazurek, Jaroslav Ramík, Michael Soltys (2019) When is the condition of order preservation met?. European Journal of Operational Research 277 (1) pp. 248 – 254. doi web BibTeX
    Konrad Kułakowski (2018) Inconsistency in the ordinal pairwise comparisons method with and without ties. European Journal of Operational Research 270 (1) pp. 314 – 327. doi web BibTeX
  • Konrad Kułakowski (2016) Notes on the existence of a solution in the pairwise comparisons method using the heuristic rating estimation approach. Annals of Mathematics and Artificial Intelligence 77 (1) pp. 105–121. doi web BibTeX
  • Konrad Kułakowski, Anna Kȩdzior (2016) Some Remarks on the Mean-Based Prioritization Methods in AHP. In Computational Collective Intelligence: 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I. pp. 434–443. Springer International Publishing. doi web BibTeX
    2015
  • K. Kułakowski (July 2015) On the Properties of the Priority Deriving Procedure in the Pairwise Comparisons Method. Fundamenta Informaticae 139 (4) pp. 403 – 419. doi BibTeX
  • K. Kułakowski (2015) Notes on Order Preservation and Consistency in AHP. European Journal of Operational Research 245 (1) pp. 333–337. Elsevier. doi web BibTeX
  • K. Kułakowski, K. Grobler-Dębska, J. Wąs (2015) Heuristic rating estimation: geometric approach. Journal of Global Optimization 62 (3) pp. 529-543. Springer US. doi web BibTeX
Additional information:

None