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Advances in Electrical Engineering and Computational Science pp 435–446Cite as

A Self Progressing Fuzzy Rule-Based System for Optimizing and Predicting Machining Process

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 39))

Researchers have put forward variety of knowledge acquisition methods for automatic learning of the rule-based systems. It has been suggested that two basic anomalies of rule-based system are incompleteness and incorrectness. In the chapter, a fuzzy rule-based system has been presented that not only self-learns and self-corrects but also self-expands. The chapter moves ahead with description of the configuration of the system, followed by explanation of the methodology that consists of algorithms for different modules. At the end, the operation of the self-progressing fuzzy rule-based system is explained with the help of examples related to optimization of machining process.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, University of Engineering & Technology, Taxila, Pakistan

    Asif Iqbal & Naeem U. Dar

Authors
  1. Asif Iqbal
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  2. Naeem U. Dar
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Editor information

Editors and Affiliations

  1. Harvard School of Engineering and Applied Sciences, Harvard University, 60 Oxford Street, Cambridge, MA, 02138, USA

    Sio-Iong Ao

  2. School of Engineering, Dept. of Process and Systems Engineering, Cranfield University, Cranfield, Beds, MK43 0AL, UK

    Len Gelman

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© 2009 Springer Science+Business Media B.V

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Iqbal, A., Dar, N.U. (2009). A Self Progressing Fuzzy Rule-Based System for Optimizing and Predicting Machining Process. In: Ao, SI., Gelman, L. (eds) Advances in Electrical Engineering and Computational Science. Lecture Notes in Electrical Engineering, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2311-7_37

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  • DOI: https://doi.org/10.1007/978-90-481-2311-7_37

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-2310-0

  • Online ISBN: 978-90-481-2311-7

  • eBook Packages: EngineeringEngineering (R0)

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