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Yarn Strength Modelling Using Genetic Fuzzy Expert System

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Abstract

This paper deals with the modelling of cotton yarn strength using genetic fuzzy expert system. Primarily a fuzzy expert system has been developed to model the cotton yarn strength from the constituent fibre parameters such as fibre strength, upper half mean length, fibre fineness and short fibre content. A binary coded genetic algorithm has been used to improve the prediction performance of the fuzzy expert system. The experimental validation confirms that the genetic fuzzy expert system has significantly better prediction accuracy and consistency than that of the fuzzy expert system.

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Authors and Affiliations

  1. Department of Production Engineering, Jadavpur University, Kolkata, 700 032, India

    Debamalya Banerjee

  2. Government College of Engineering & Textile Technology, Berhampore, 742 101, India

    Anindya Ghosh & Subhasis Das

Authors
  1. Debamalya Banerjee
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  2. Anindya Ghosh
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  3. Subhasis Das
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Correspondence to Anindya Ghosh.

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Banerjee, D., Ghosh, A. & Das, S. Yarn Strength Modelling Using Genetic Fuzzy Expert System. J. Inst. Eng. India Ser. E 93, 83–90 (2012). https://doi.org/10.1007/s40034-013-0010-0

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  • DOI: https://doi.org/10.1007/s40034-013-0010-0

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