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A240A0060 Fuzzy Sets and Fuzzy Logic, 6 cr 
Code A240A0060  Validity 01.08.2019 -
Name Fuzzy Sets and Fuzzy Logic  Abbreviation Fuzzy Sets and 
Credits6 cr   
TypeBasic studies  
ClassCourse   
  Grading scaleStudy modules 0-5,P/F 
  Eligibility for post-graduate studiesno
    Allowed to study several timesno
Organisation LUT School of Business and Management 

Teachers
Name
Pasi Luukka 

Description by Study Guide
Note 

Location: Lappeenranta

Replaces the course CS38A0060 and can not be included in the same degree.

 

 
Year 

M.Sc. (Econ & Bus. Adm.) 2

 
Period 

1-2

 
Teaching Language 

English

 
Teacher(s) in Charge 

Professor D.Sc. (Tech.), Pasi Luukka

 
Aims 

By the end of the course student will be able to
- understand basic mathematical concepts related to fuzzy set theory and fuzzy logic
- model uncertain concepts using fuzzy set theory
- construct fuzzy models
- deduce meaningful information from fuzzy models

 
Contents 

The course consists of basics of fuzzy set theory, algebras of fuzzy sets, fuzzy quantities, logical aspects of fuzzy sets, operations of fuzzy sets, fuzzy relations, aggregation operators, common fuzzy inference systems, including Mamdani's, Larsen's and Tsukamoto inference and Sugeno model.

 
Teaching Methods 

Lectures 14 h, demolecture videos 7 h, exercises 14 h, 1st period. Lectures 14 h, demolecture videos 7 h, exercises 14 h, 2nd period. Independent study 90 h. Written examination. Total workload 160 h.

 
Examination in Examination schedule (Yes/No) 

Yes

 
Examination in Moodle (Yes/No) 

Yes (edit 30.3.2020)

 
Examination in Exam (Yes/No) 

No

 
Assessment scale and assessment methods 

0-5, examination 100 %. Moodle exam: pass-fail (edit. 30.3.2020)

 
Course Materials 

Klir, G., Yuan, B.: Fuzzy Sets and Fuzzy Logic. Theory and Applications, Prentice Hall, 1995.
Fullér, R.: Introduction to Neuro-Fuzzy Systems, Physica-Verlag, 2000.

Ross, T.: Fuzzy Logic with Engineering Applications, Wiley, 2017.

Passino, K.M., Yurkovich, S.: Fuzzy control, Addison Wesley, 1998.

 
Prerequisites 

Bachelor level mathematics courses:

BM20A6700 Matematiikka I, osa A , BM20A6800 Matematiikka II, osa A, BM20A6900 Matematiikka III

Experience in programming or using mathematical software required:

BM20A4301 Johdatus tekniseen laskentaan or BM20A5001 Principles of Technical Computing

 
Number of exercise groups where enrollment is in WebOodi (Number/Leave empty) 

1

 
Places for exchange-students? (Yes, number/No) 

max 10

 
Places for Open University Students?(Yes, number/No) 

max 10

 


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Upcoming exams
Functions Name Type cr Teacher Timing
  Fuzzy Sets and Fuzzy Logic  EXAM  Pasi Luukka 
01.04.20wed 16.15-19.15