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Granular Computing Based on m-Polar Fuzzy Hypergraphs

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Book cover Fuzzy Hypergraphs and Related Extensions

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 390))

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Abstract

An m-polar fuzzy model, as an extension of fuzzy and bipolar fuzzy models, plays a vital role in modeling of real-world problems that involve multi-attribute, multipolar information, and uncertainty. The m-polar fuzzy models give increasing precision and flexibility to the system as compared to the fuzzy and bipolar fuzzy models.

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Authors and Affiliations

  1. Department of Mathematics, University of the Punjab, Lahore, Pakistan

    Muhammad Akram

  2. Department of Mathematics, University of the Punjab, Lahore, Pakistan

    Anam Luqman

Authors
  1. Muhammad Akram
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  2. Anam Luqman
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Correspondence to Muhammad Akram .

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Akram, M., Luqman, A. (2020). Granular Computing Based on m-Polar Fuzzy Hypergraphs. In: Fuzzy Hypergraphs and Related Extensions. Studies in Fuzziness and Soft Computing, vol 390. Springer, Singapore. https://doi.org/10.1007/978-981-15-2403-5_8

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  • DOI: https://doi.org/10.1007/978-981-15-2403-5_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2402-8

  • Online ISBN: 978-981-15-2403-5

  • eBook Packages: EngineeringEngineering (R0)

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