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The Challenges of Big Data and the Contribution of Fuzzy Logic

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Fuzzy Logic and Applications (WILF 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11291))

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Abstract

In recent decades we have witnessed a growing investment by all economic sectors in the acquisition of volumes of data characterized not only by ever larger cardinality, but also by increasing number of characteristics for each observed instance [1], and this led to the coining of the term Big-Data.

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Notes

  1. 1.

    For a selection of the most representative papers of Zadeh, see, e.g., [2,3,4,5,6,7,8,9,10].

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Authors and Affiliations

  1. DIBRIS, University of Genova, Via Dodecaneso 35, 16146, Genoa, Italy

    Francesco Masulli & Stefano Rovetta

  2. Sbarro Institute for Cancer Research and Molecular Medicine, Temple University, Philadelphia, PA, USA

    Francesco Masulli

Authors
  1. Francesco Masulli
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  2. Stefano Rovetta
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Corresponding author

Correspondence to Francesco Masulli .

Editor information

Editors and Affiliations

  1. Széchenyi István University, Győr, Hungary

    Robert Fullér

  2. Ca’ Foscari University of Venice, Venice, Italy

    Silvio Giove

  3. University of Genoa, Genoa, Italy

    Francesco Masulli

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Masulli, F., Rovetta, S. (2019). The Challenges of Big Data and the Contribution of Fuzzy Logic. In: Fullér, R., Giove, S., Masulli, F. (eds) Fuzzy Logic and Applications. WILF 2018. Lecture Notes in Computer Science(), vol 11291. Springer, Cham. https://doi.org/10.1007/978-3-030-12544-8_25

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  • DOI: https://doi.org/10.1007/978-3-030-12544-8_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12543-1

  • Online ISBN: 978-3-030-12544-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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