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Modified Generalized Weighted Fuzzy Petri Net in Intuitionistic Fuzzy Environment

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Rough Sets (IJCRS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9920))

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Abstract

In this paper, a modification for the generalized weighted fuzzy Petri net in intuitionistic fuzzy environment has been proposed with the help of inverted fuzzy implication as an output operator in ope-rator binding function. It provides a way to optimize the truth values at the output places. Approximate reasoning algorithms for such Petri net have been proposed. A numerical example is provided to logically establish the proposed theory.

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Acknowledgments

This work was partially supported by the Center for Innovation and Transfer of Natural Sciences and Engineering Knowledge at the University of Rzeszów. We would like to thank the anonymous referees for critical remarks and useful suggestions to improve the presentation of the paper.

Author information

Authors and Affiliations

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

    Sibasis Bandyopadhyay

  2. Chair of Computer Science, University of Rzeszów, Rzeszów, Poland

    Zbigniew Suraj & Piotr Grochowalski

Authors
  1. Sibasis Bandyopadhyay
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  2. Zbigniew Suraj
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  3. Piotr Grochowalski
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Corresponding author

Correspondence to Zbigniew Suraj .

Editor information

Editors and Affiliations

  1. Universidad Católica del Norte, Antofagasta, Chile

    Víctor Flores

  2. University of Campinas, Campinas, SP, Brazil

    Fernando Gomide

  3. University of Warsaw, Warsaw, Poland

    Andrzej Janusz

  4. Universidad del Católica del Norte, Antofagasta, Chile

    Claudio Meneses

  5. Tongji University, Shanghai, China

    Duoqian Miao

  6. University of Applied Sciences, Munich, Germany

    Georg Peters

  7. University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  8. Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

  9. Universidad de Chile, Santiago, Chile

    Richard Weber

  10. University of Regina, Regina, Saskatchewan, Canada

    Yiyu Yao

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Bandyopadhyay, S., Suraj, Z., Grochowalski, P. (2016). Modified Generalized Weighted Fuzzy Petri Net in Intuitionistic Fuzzy Environment. In: Flores, V., et al. Rough Sets. IJCRS 2016. Lecture Notes in Computer Science(), vol 9920. Springer, Cham. https://doi.org/10.1007/978-3-319-47160-0_31

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  • DOI: https://doi.org/10.1007/978-3-319-47160-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47159-4

  • Online ISBN: 978-3-319-47160-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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