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Rough Sets in Computer Implementation of Rule-Based Control of Industrial Processes

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Intelligent Decision Support

Part of the book series: Theory and Decision Library ((TDLD,volume 11))

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.

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References

  1. Moret B.M.E., Decision trees and diagrams. Computing Surveys, 14, (1982), 593.

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Author information

Authors and Affiliations

  1. Institute of Theoretical and Applied Computer Science, Polish Academy of Sciences, 44-100, Gliwice, Poland

    Adam Mrózek

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  1. Adam Mrózek
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Editor information

Editors and Affiliations

  1. Institute of Computing Science, Technical University of Poznań, Poland

    Roman Słowiński

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© 1992 Springer Science+Business Media Dordrecht

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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

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  • 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

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