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A Scientometrics Study of Rough Sets in Three Decades

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Rough Sets and Knowledge Technology (RSKT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8171))

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Abstract

Rough set theory has been attracting researchers and practitioners over three decades. The theory and its applications experienced unprecedented prosperity especially in the recent ten years. It is essential to explore and review the progress made in the field of rough sets. Mainly based on Web of Science database, we analyze the prolific authors, impact authors, impact groups, and the most impact papers in the past three decades. In addition, we also examine rough set development in the recent five years. One of the goals of this article is to use scientometrics approaches to study three decade research in rough sets. We review the historic growth of rough sets and elaborate on recent development status in this field.

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Authors and Affiliations

  1. Department of Computer Science, University of Regina, Cananda

    JingTao Yao & Yan Zhang

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  1. JingTao Yao
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  2. Yan Zhang
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Editors and Affiliations

  1. Saint Mary’s University, B3H 3C3, Halifax, NS, Canada

    Pawan Lingras

  2. Maria Curie-Skłodowska University, Lublin, Poland

    Marcin Wolski

  3. University of Granada, Spain

    Chris Cornelis

  4. Indian Statistical Institute, 700108, Kolkata, India

    Sushmita Mitra

  5. University of Warsaw, 02-097, Warsaw, Poland

    Piotr Wasilewski

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Yao, J., Zhang, Y. (2013). A Scientometrics Study of Rough Sets in Three Decades. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds) Rough Sets and Knowledge Technology. RSKT 2013. Lecture Notes in Computer Science(), vol 8171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41299-8_4

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  • DOI: https://doi.org/10.1007/978-3-642-41299-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41298-1

  • Online ISBN: 978-3-642-41299-8

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