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Fractal Analysis Approaches to Granular Computing

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Rough Sets (IJCRS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10313))

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Abstract

Granular computing has emerged as one of the fastest growing information processing paradigms in computational intelligence and human-centric systems. Fractal analysis has equally gained ground in understanding complex phenomena. This article examines and analyzes fractal analysis and its close relationship with granular computing. We argue that fractal analysis can be viewed as special granular computing approaches especially from methodology and mechanism point of views. In this article, we also bring out the granular structure existing in a fractal analysis application. The aim of this research is to demonstrate fractal analysis as a granular computing approach based on these findings.

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Acknowledgement

This research was partially supported by an NSERC discovery grant.

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Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, SK, S4S 0A2, Canada

    JingTao Yao, Oladunni A. Oladimeji & Yan Zhang

Authors
  1. JingTao Yao
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  2. Oladunni A. Oladimeji
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  3. Yan Zhang
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Corresponding author

Correspondence to JingTao Yao .

Editor information

Editors and Affiliations

  1. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Lech Polkowski

  2. University of Regina, Regina, SK, Canada

    Yiyu Yao

  3. University of Warmia and Mazury, Olsztyn, Poland

    Piotr Artiemjew

  4. University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  5. Southwest Jiaotong University, Chengdu, China

    Dun Liu

  6. Warsaw University, Warszawa, Poland

    Dominik Ślęzak

  7. Silesian University, Sosnowiec, Poland

    Beata Zielosko

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Yao, J., Oladimeji, O.A., Zhang, Y. (2017). Fractal Analysis Approaches to Granular Computing. In: Polkowski, L., et al. Rough Sets. IJCRS 2017. Lecture Notes in Computer Science(), vol 10313. Springer, Cham. https://doi.org/10.1007/978-3-319-60837-2_18

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  • DOI: https://doi.org/10.1007/978-3-319-60837-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60836-5

  • Online ISBN: 978-3-319-60837-2

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