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Specificity Based Defuzzification in Approximate Reasoning

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Facets of Uncertainties and Applications

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 125))

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Abstract

In this paper, an attempt is made to introduce a new defuzzification scheme to be used in case there are a number of clipped fuzzy sets in the output of a fuzzy system. Approximate reasoning with this defuzzification scheme is proposed. A number of defuzzification methods existing in literature are reviewed here. A comparative study with our method has been made. The results are illustrated with a DC shunt motor for better understanding.

This research has been partially supported by the UGC SAP (DRS) Phase-II programme of the Department of Mathematics, Visva-Bharati. Authors appreciate the financial support of the University Grants Commission.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, Visva-Bharati, Santiniketan, India

    Asim Pal & Swapan Raha

Authors
  1. Asim Pal
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  2. Swapan Raha
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Corresponding author

Correspondence to Swapan Raha .

Editor information

Editors and Affiliations

  1. Jadavpur University, Kolkata, India

    Mihir K. Chakraborty

  2. Institute of Mathematics, University of Warsaw, Warszawa, Poland

    Andrzej Skowron

  3. Vidyasagar University, Paschim Medinipur, West Bengal, India

    Manoranjan Maiti

  4. Department of Mathematics, National Institute of Technology (NIT), Durgapur, India

    Samarjit Kar

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Pal, A., Raha, S. (2015). Specificity Based Defuzzification in Approximate Reasoning. In: Chakraborty, M.K., Skowron, A., Maiti, M., Kar, S. (eds) Facets of Uncertainties and Applications. Springer Proceedings in Mathematics & Statistics, vol 125. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2301-6_4

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