Abstract
In this Chapter, we will describe a large scale application of fuzzy control, which has been realized in the Czech Republic. It concerns the enterprise, which is a part of the Metallurgic Plant Břidličná, a.s., an important producer of the high quality aluminium in the Czech Republic. The applications of fuzzy control started in 1995. After good experiences with the first furnace fuzzy control, it was decided to apply it on the other four furnaces one by one, too. At present, the system works in the whole enterprise on all five furnaces. We have used the linguistically oriented fuzzy logic controller, for which it is specific to interpret the IF-THEN rules as linguistically characterized logical implications and the inference is logical deduction based on the formal fuzzy logic in broader sense.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bělohlávek, R., and V. Novák. Learning Rule Base of the Linguistic Expert Systems. Int. J. of Soft Computing (submitted).
Driankov, D., Hellendoorn, H., and M. Reinfrank. (1993). An Introduction to Fuzzy Control. Berlin: Springer.
Klir, G.J., and Yuan, B. (1995). Fuzzy Sets and Fuzzy Logic: Theory and Applications. New York: Prentice-Hall.
Kruse, R., Gebhardt, J., and Klawonn, F. (1994). Foundations of Fuzzy Systems, Chichester: Wiley.
Mamdani, E.H. (1974). “Applications of fuzzy algorithms for simple dynamic plant,” Proc. IEE 121, 1585–1588.
Novák, V. (1989). Fuzzy Sets and Their Applications. Bristol: Adam Hilger.
Novák, V. (1995). “Linguistically Oriented Fuzzy Logic Controller and Its Design,” Int. J. of Approximate Reasoning 1995, 12, 263–277.
Novák, V., and I. Perfilieva (1999). “Evaluating Linguistic Expressions and Functional Fuzzy Theories in Fuzzy Logic,” In: L. A. Zadeh and J. Kacpryk (eds.): Computing with Words in Information/Intelligent Systems 1. Springer-Verlag, Heidelberg, 383–406.
Novák, V., Perfilieva L, and J. Mockor (1999). Mathematical Principles of Fuzzy Logic. Kluwer, Boston/Dordrecht 1999.
Prokop, R., Turisová, Z., and Meszaros, A. (1992). “Unified Self-Tuners for Industrial Applications,” Proc. of IFAC Symposium on LCA’92, Vienna, Austria.
Zadeh, L. A. (1965). “Fuzzy Sets,” Inf. Control. 8, 338–353.
Zadeh, L. A. (1972). “A fuzzy-set-theoretic interpretation of linguistic hedges,” J. Cyber. 2, 2–34.
Zadeh, L.A. (1973). “Outline of a New Approach to the Analysis of Complex Systems and Decision Processes,” IEEE Trans. Syst. Man and Cybern, 1, 28–44.
Zadeh, L.A. (1972). “A rationale for fuzzy control”. J. of Dynamical Systems, Measurement, and Control 94, 3–4.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media New York
About this chapter
Cite this chapter
Novak, V., Kovář, J. (2000). Linguistic If-Then Rules in Large Scale Application of Fuzzy Control. In: Ruan, D., Kerre, E.E. (eds) Fuzzy If-Then Rules in Computational Intelligence. The Springer International Series in Engineering and Computer Science, vol 553. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4513-2_10
Download citation
DOI: https://doi.org/10.1007/978-1-4615-4513-2_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7035-2
Online ISBN: 978-1-4615-4513-2
eBook Packages: Springer Book Archive