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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CSC 5010 FUZZY MULTICRITERIA DECISION TECHNIQUES ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR AYŞE ÖVGÜ KINAY

Offered to

Computer Science Ph.D. in Computer Science

Course Objective

In this course, it is aimed to give students knowledge of fuzzy multi-attribute and multi-objective decision making methodologies.

Learning Outcomes of the Course Unit

1   Have a good understanding of the fuzzy logic. 2   Have a good understanding of the construction, and analysis of discrete multicriteria decision-making models. 3   Have a good understanding of the construction, and analysis of continuous multicriteria decision-making models. 4   Have a good understanding of the construction of fuzzy preference relations. 5   Be able to decision making with fuzzy information.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 The definition of decision-making problems 2 Concept of fuzzy sets 3 Selected Design and Processing Aspects of Fuzzy Sets 4 Continuous models of MCDM and their analysis 5 Continuous models of MCDM and their analysis (cont ) 6 Int. to preference modeling with binary fuzzy relations 7 Int. to preference modeling with binary fuzzy relations (cont ) 8 Midterm exam 9 Construction of fuzzy preference relations 10 Construction of fuzzy preference relations (cont ) 11 Discrete models of MCDM and their analysis 12 Discrete models of MCDM and their analysis (cont ) 13 Group Decision-Making: Fuzzy Models 14 Group Decision-Making: Fuzzy Models (cont )

Recomended or Required Reading

Textbook(s): Witold Pedrycz, Petr Ekel, Roberta Parreiras, Fuzzy Multicriteria Decision-Making: Models, Methods and Applications, Wiley, 2010. Supplementary Book(s): Kahraman, C.(Editor). Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments, Springer, 2008.

Planned Learning Activities and Teaching Methods

Lecture format, built around the textbook readings with numerous examples chosen to illustrate theoretical concepts.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ovgu.tekin@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 14 4 56 Preparation for midterm exam 1 36 36 Preparation for final exam 1 48 48 Preparing assignments 1 18 18 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 201

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 4 3 3 3 LO.2 4 3 3 3 3 LO.3 4 3 3 3 3 LO.4 4 3 3 3 3 LO.5 4 3 3 3 3