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Course: Fuzzy Methods and Applications

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Course title Fuzzy Methods and Applications
Course code FES/AFMA
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Gavalec Martin, prof. RNDr. CSc.
Course content
fuzzy subsets and fuzzy relations, fuzzy graphs fuzzy logic and fuzzy reasoning principles of fuzzy control fuzzy systems and data analysis applications to cluster analysis and database theory uzzy algebraic structures fuzzy monoids and automata theory free fuzzy monoids and coding theory max algebras and applications

Learning activities and teaching methods
Methods of individual activities
Learning outcomes
Aim of the subject: the student will be able to use essential methods of fuzzy mathematics in scientific research (fuzzy subsets, relation, graphs, logics, principals of fuzzy management, fuzzy systems and data analysis, coding etc.).
The students should be able to design fuzzy inference systems for classification and prediction, especially in the economics, social and environmental spheres, as well as to design models based on neural and fuzzy neural networks.
Prerequisites
unspecified

Assessment methods and criteria
Discussion

Recommended literature
  • Jantzen, J. Foundations of Fuzzy Control. John Siley and Sons, 2007.
  • Mordeson, J. N, Nair, P. S. Fuzzy Mathematics. Physica-Verlag Springer, 2001.
  • Pedrycz, W., Ekel, P., Parreiras, R. Fuzzy Multicriteria Decision-Making: Models, Methods and Applications. John Wiley & Sons, 2011.
  • Ross, T. J. Fuzzy Logic with Engineering Applications. John Wiley & Sons, 2010.
  • Siler, W., Buckley, J. J. Fuzzy Expert Systems and Fuzzy Reasoning. John Wiley & Sons, 2005.
  • Wolkenhauer, O. Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis. John Wiley & Sons, 2001.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
University of Pardubice, date of update: 03.06.2024 23:50.