Course detail
Fuzzy Systems for Control and Modelling
FIT-FSYAcad. year: 2013/2014
Motivation, crisp sets and fuzzy sets. Fuzzy sets operations, t-norms and conorms. Fuzzy relations and operations with them. Projection, cylindrical extension, composition. Approximate reasoning. Linguistic variable. Fuzzy implication. Generalized modus ponens and fuzzy rule "if-then". Inference rules. The evaluation of a set of the fuzzy rules. Fuzzy systems Mamdani and Sugeno. The structure of the system, knowledge and data base. Fuzzification and defuzzification. Fuzzy system as an universal approximator. Adaptive fuzzy systems, neuro fuzzy systems.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
- Syllabus of lectures:
- Motivation, crisp sets and fuzzy sets.
- Operation with the fuzzy sets.
- t-norm a conorm.
- Fuzzy relation and operations with them. Projection, cylindrical extension, composition.
- Approximate reasoning. Linguistic variable. Fuzzy implication.
- Generalised "modus ponens", fuzzy rule "if-then". Inference rules.
- Evaluation of the set of fuzzy rules.
- Fuzzy systems Mamdani a Sugeno.
- The structure of the fuzzy system, knowledge and data base.
- Fuzzification and defuzzification.
- Fuzzy system is an universal approximator.
- Adaptive fuzzy systems.
- Neuro-fuzzy systems.
Syllabus - others, projects and individual work of students:
Mamdani or Sugeno type model in one implemented example.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
- Programme IT-MSC-2 Master's
branch MBI , 0 year of study, summer semester, elective
branch MBS , 0 year of study, summer semester, elective
branch MGM , 0 year of study, summer semester, elective
branch MIN , 0 year of study, summer semester, elective
branch MIS , 0 year of study, summer semester, elective
branch MMI , 0 year of study, summer semester, elective
branch MMM , 0 year of study, summer semester, elective
branch MPV , 0 year of study, summer semester, elective
branch MSK , 0 year of study, summer semester, elective
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Motivation, crisp sets and fuzzy sets.
- Operation with the fuzzy sets.
- t-norm a conorm.
- Fuzzy relation and operations with them. Projection, cylindrical extension, composition.
- Approximate reasoning. Linguistic variable. Fuzzy implication.
- Generalised "modus ponens", fuzzy rule "if-then". Inference rules.
- Evaluation of the set of fuzzy rules.
- Fuzzy systems Mamdani a Sugeno.
- The structure of the fuzzy system, knowledge and data base.
- Fuzzification and defuzzification.
- Fuzzy system is an universal approximator.
- Adaptive fuzzy systems.
- Neuro-fuzzy systems.