Multi-valued logic applications

Additional Info

  • ECTS credits: 4
  • Semester: 1
  • University: Brno University of Technology
  • Prerequisites:

    Mathematical logic, fuzzy set theory.

  • Objectives:

    The aim of the course is to provide students with information about the use of Multi-valued logic in technical applications.

  • Topics:

    1. Multi-valued logic, formulae.

    2. T-norms, T-conorms, generalized implications.

    3. Linguistic variables and linguistic models.

    4. Knowledge bases of expert systems.

    5-6. Semantic interpretations of knowledge bases

    7. Inference techniques and its implementation

    8. Redundance a contradictions in knowledge bases

    9. LMPS system

    10. Fuzzification and defuzzification problem

    11. Technical applications of multi-valued logic and fuzzy sets theory

    12. Expert systems

    13. Overview of AI methods

  • Books:

    Jackson P.: Introduction to Expert Systems, Addison-Wesley 1999

  • More information:

    The course is intended especially for students of mathematical engineering. It includes the theory of multi-valued logic, theory of linguistic variable and linguistic models and theory of expert systems based on these topics. Particular technical applications of these mathematical teories are included as a practice.

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