Abstract
We discuss the use of elements of rough set theory in computer implementation of rule-based control of industrial processes. The notions of expert’s inference model for industrial process control and of control protocol which registers the expert’s decisions are introduced. The process of extraction of decision rules contained in the control protocol based on the rough set theory formalism is presented. An example of the analysis of control protocol concerning the control process of a rotary clinker kiln is chosen as an illustration.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Moret B.M.E., Decision trees and diagrams. Computing Surveys, 14, (1982), 593.
Mrózek A. Information systems and control algorithms. Bulletin of the Polish Academy of Sciences T.S., 33, (1985), 195.
Mrózek A. Use of rough sets and decision tables for implementing rule-based control of industrial process. Bulletin of the Polish Academy of Sciences T.S., 34, (1986), 357.
Mrózek A. Rough sets and some aspects of expert systems realization. 7-th International Workshop on Expert Systems and their Applications, Avignon, (1987), 597.
Mrózek A. Rough sets and dependency analysis among attributes in computer implementations of expert’s inference models. Int. J.Man-Machine Studies, 30, (1989), 457.
Mrózek A. A new methods for discovering rules from examples in expert systems. Int. J.Man-Machine Studies (1991), (sent for publication).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Mrózek, A. (1992). Rough Sets in Computer Implementation of Rule-Based Control of Industrial Processes. In: Słowiński, R. (eds) Intelligent Decision Support. Theory and Decision Library, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7975-9_2
Download citation
DOI: https://doi.org/10.1007/978-94-015-7975-9_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4194-4
Online ISBN: 978-94-015-7975-9
eBook Packages: Springer Book Archive