455-0913/01 – Fuzzy Systems (FS)
| Gurantor department | Department of Measurement and Control | Credits | 10 |
| Subject guarantor | prof. Dr. Ing. Miroslav Pokorný | Subject version guarantor | prof. Dr. Ing. Miroslav Pokorný |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 1995/1996 | Year of cancellation | 2010/2011 |
| Intended for the faculties | FEI | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The subject represents the extending and improvement of the artificial intelligence knowledge with special focus on analysis and development of knowledge systems using the fuzzy mathematic and fuzzy logic principles and approaches.
Students will be ready for design, development and practical appication of fuzzy oriented expert systems and fuzzy controllers.
Teaching methods
Lectures
Individual consultations
Summary
The course is focused on improvement of knowledge of doctoral programme students in the field of fuzzy sets mathematic and fuzzy logic including its application in information and control systems. The following topics are discused: knowledge fuzzy representation in knowledge bases, aproximative reassoning based on fuzzy logic. The course subject can be prepared individually according to student´s doctoral thesis theme.
Compulsory literature:
Novák,V.: Fuzzy množiny a jejich aplikace, SNTL Praha, 1992
Pokorný,M.:Umělá inteligence v modelování a řízení, BEN Praha, 1996
Vysoký,P.: Fuzzy řízení, ČVUT Praha, 1996
Cox,E.: The Fuzzy Systems Handbook, Academic Press, Inc., 1994
Novák,V.: Základy fuzzy modelování, BEN Praha, 2000
Novák,V.,Perfilieva,I.,Močkoř,J.: Mathematical Principles of Fuzzy Logic, Kluwer, Boston, 1999
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Monitoring the performance of given tasks within the regular consultations
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
Complex system modelling principles knowledge approaches.
Extending of fuzzy sets theory
Uncertainty and its fuzzy representation
Extending of multivalues fuzzy linguistic logic
Fuzzy linguistic models, analysis of Mamdani and Takagi-Sugeno fuzzy rules oriented models
Extending of aproximative reasoning, inference algorithms
Fuzzy expert systems, design methodology, application
Rule base cognitive analysis
Fuzzy control, design methodology, application
Fuzzy controller properties and stability
Intelligent knowledge controllers, architecture and properties
Neural networks in control systems
Genetic algorithms in control systems
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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