Letzte Änderung : 26.01.2025 00:21:13   


Output

Code: 214300
Module title: Fuzzy Systems
Version: 1.0 (03/2016)
Last update: 5.04.2023 07:06:39
Person responsible for content: Prof. Dr.-Ing. Kästner, Wolfgang
w.kaestner@hszg.de


Semester according to timetable: SoSe+WiSe (summer and winter semester)
Module level:Bachelor/Diplom
Duration:1 semester
Language of Instruction:English
Place where the module will be offered:Zittau

ECTS Credits: 5
Student workload (in hours): 150

Number of hours of teaching:
total
subdivided into
4
2
Lecture
1
Seminar/Exercise
1
Laboratory work
0
Other
Self study time (in hours):
sum
subdivided into
105
70
Preparation of contact hours
35
Preparation of exam
0
Other

Learning and teaching methods:The methodical aspects of the topic will be communicated by lectures. Seminars and exercises as well as practical courses at laboratory serve for consolidation of knowledge.
Further information: PC-based exercises will be realized to train the handling of simulation tools with Fuzzy Shell.


Exam(s)
Assessment Major examination (written report)
 - 
 100.0%


Syllabus plan/Content: - foundations of Fuzzy Set Theory
- fuzzy systems and their components
- fuzzy system of Mamdani type
structure, demonstration example, software
- fuzzy system of Takagi-Sugeno-Kang type
structure, demonstration example, software
- applications modeling, control
- simulation (fuzzy shell)

Learning Goals
Subject-specific skills and competences: The students analyze a data base of process and identify the necessity of data preparation. They design data-based models in form of relational and functional fuzzy systems. They evaluate the quality of designed algorithms based on simulation.
Generic competences (Personal and key skills): The students are able to create and realize strategies for problem solving from the individual point of view or as a result of teamwork.
The students use approaches of system theory. The students evaluate their results and are able to present the results.

Prerequisites: Mathematics, Control Theory (fundamentals)
Optional: Signals and systems

Literature: Kruse, R. / Mostaghim, S. / Borgelt, C.: Computational Intelligence. Springer, 2022
Sonnet, D. Neuronale Netze kompakt. Springer, 2022
Keller, J.: Computational Intelligence. John Wiley & Sons, 2016
Kroll, A.: Computational Intelligence. De Gruyter, 2016
Ertel, W.: Grundkurs Künstliche Intelligenz. Springer, 2021
Lämmel, U. / Cleve, J.: Künstliche Intelligenz. Carl Hanser, 2020
Beierle, C. / Kern-Isberner, G.: Methoden wissensbasierter Systeme. Springer, 2019