CCO - 723 - Fuzzy Systems

Total of Credits: 8
Hours for Theoretical Classes: 60
Hours for Exercises or Seminars: 60

Objective

To introduce concepts of the theory of fyzzy sets and fuzzy logic and to present some of the ways of use and application of these concepts, mainly in the management of uncertainty in knowledge-based systems and others subareas of Artificial Intelligence.

Catalog Description

• Fuzzy Sets
• Fuzzy Logic
• Methods of Approximate Reasoning
• Fuzzy Systems Modeling
• Applications

Main Bibliography

1 - Klir, G. J. & Yuan, B. – Fuzzy Sets and Fuzzy Logic – Theory and Applications, Pretince Hall, New Jersey, 1995.

2 - Pedrycz, W. & Gomide, F. – An Introduction to Fuzzy Sets – Analysis and Design, MIT Press, Cambridge, 1998.

3 - Pedrycz, W. & Gomide, F. – Computational Intelligence: An Introduction, CRC Press LLC, Boca Raton, 1998.

4 - Klir, G.J. & Folger, T. A. – Fuzzy Setes, Uncertainty and Information, Prentice Hall, Englewood Cliffs, NJ, 1998.

5 - Yager, R.R. & Filev, D.P. – Essentials of Fuzzy Modeling and Control, Johm Wiley & Sons, Inc., New York, 1994.

Complementary Bibliography

1- Von Altrock, C. Fuzzy Logic & Neuro Fuzzy Applications Explained Pretice Hall, New Jersey, 1995

2 - Nicoletti, M.C. & Camargo, H.A. – Fundamentos da Teoria de Conjuntos Fuzzy, Série apontamentos, Edufscar, 2004.

3 - Ross, T. J., Fuzzy Logic with Engineering Applications, John Wiley & Sons, 2004.