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Assessment of Selected Tools Used for Knowledge Extraction in Industrial Manufacturing

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Soft Modeling in Industrial Manufacturing

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 183))

Abstract

General requirements for knowledge representation in the form of logic rules, applicable to design and control of industrial processes, are formulated. Characteristic behavior of Decision Trees and Rough Sets Theory in rules extraction from recorded data is discussed and illustrated. The significance of the models’ drawbacks was evaluated, using simulated and industrial data sets. It is concluded that performance of Decision Trees may be considerably poorer in several important aspects, compared to Rough Sets Theory, particularly when not only a characterization of a problem is required, but also detailed and precise rules are needed, according to actual, specific problems to be solved.

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Acknowledgements

The authors are grateful to prof. Jerzy Stefanowski from Institute of Computing Science of Poznan University of Technology, Poland, for his highly valuable advice in preparation of the earlier version of this work.

We would also like to thank International Science Council of World Academy of Science, Engineering and Technology for the permission to use the copyrighted material from our paper “Comparative Study of Decision Trees and Rough Sets Theory as Knowledge Extraction Tools for Design and Control of Industrial Processes” at http://waset.org/publications/7119/.

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Authors and Affiliations

  1. Faculty of Production Engineering, Warsaw University of Technology, Narbutta 85, 02-524, Warsaw, Poland

    Marcin Perzyk & Artur Soroczynski

Authors
  1. Marcin Perzyk
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  2. Artur Soroczynski
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Corresponding author

Correspondence to Marcin Perzyk .

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Editors and Affiliations

  1. Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    Przemyslaw Grzegorzewski

  2. Faculty of Production Engineering, Institute of Manufacturing Technologies, Warsaw University of Technology, Warsaw, Poland

    Andrzej Kochanski

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Perzyk, M., Soroczynski, A. (2019). Assessment of Selected Tools Used for Knowledge Extraction in Industrial Manufacturing. In: Grzegorzewski, P., Kochanski, A., Kacprzyk, J. (eds) Soft Modeling in Industrial Manufacturing. Studies in Systems, Decision and Control, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-030-03201-2_5

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