MAL206 – Fuzzy Logic

Module designation

Fuzzy Logic (MAL206)

Semester(s) in which the module is taught

3^rd

Person responsible for the module

Drs. Edi Winarko, M.Cs.

Language

Indonesian

Relation to curriculum

Compulsory / elective / specialisation

Teaching methods

Lecture and lesson.

Workload (incl. contact hours, self-study hours)

2×170 minutes (2×50 minutes lecture and lesson, 2×60 minutes structural activities, 2×60 minutes self-study) per week for 16 weeks

Credit points

2 CP (3,2 ECTS)

Required and recommended prerequisites for joining the module

–   Fundamentals of Mathematics I (MAL101)

Module objectives/intended learning outcomes

General Competence (Knowledge):

  Capable of explaining the basic concepts of fuzzy logic and able to apply fuzzy logic in all fields.

Specific Competence: student capable of

1.      understanding the meaning of Fuzzy Logic, Fuzzy Sets

2.      performing operations on Fuzzy Sets

3.      performing Fuzzy Relations and Composition, in a case

4.      understanding and perform operations on Fuzzy Logic

5.      identifying the need for Fuzzy Inference and its implementation in several solution methods (Mamdani, Sugeno, Tsukamoto)

Content

Introduction to Fuzzy Logic, Fuzzy Sets, Basic Operations on Fuzzy Sets, Fuzzy Relations and Composition, Fuzzy Logic,

Fuzzy Inference.

Examination forms

Essay Project

Study and examination requirements

Students are considered to pass if they at least have got a final score 40 (D).

Final score is calculated as follows: 10% softskill+18% assignment + 28.5% Quiz + 16% midterm + 27.5% final exam.

Final index is defined as follow:

Reading list

1.       Lee, Kwang H., 2005, First Course on Fuzzy Theory and Application, Springer Berlin Heidelberg NewYork.

2.       Zimmermann, 2000, Fuzzy Set Theory and Its Applicaitions, Kluwer Academic Publisher, Boston.

3.      George J.Klir and Bo Yuan, 2001, Fuzzy Sets and Fuzzy Logic : Theory and Applications, Prentice-Hall, Inc., New Delhi.