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Expression and Processing of Uncertain Information

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Book cover 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

Uncertainty is one basic feature in the information processing, and the expressing and processing of uncertain information have attracted more attentions. There are many theories introduced to process the uncertain information, such as probability theory, random set, evidence theory, fuzzy set theory, rough set theory, cloud model theory and so on. They depict the uncertain information from different aspects. This paper mainly discusses their differences and relations in expressing and processing for uncertain information. The future development trend is also discussed.

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Author information

Authors and Affiliations

  1. School of Information Science & Technology, Southwest Jiaotong University, Chengdu, 610031, China

    Guoyin Wang & Changlin Xu

  2. Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Guoyin Wang, Changlin Xu & Hong Yu

  3. Institute of Electronic Information Technology, Chongqing Institute of Green & Intelligent Technology, CAS, Chongqing, 401122, China

    Guoyin Wang

Authors
  1. Guoyin Wang
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  2. Changlin Xu
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  3. Hong Yu
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Editor information

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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Wang, G., Xu, C., Yu, H. (2013). Expression and Processing of Uncertain Information. 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_6

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  • DOI: https://doi.org/10.1007/978-3-642-41299-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41298-1

  • Online ISBN: 978-3-642-41299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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