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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 2014: Information Processing and Management of Uncertainty in Knowledge-Based Systems pp 405–413Cite as

Gradual Linguistic Summaries

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 443))

Abstract

In this paper we propose a new type of protoform-based linguistic summary – the gradual summary. This new type of summaries aims in capturing the change over some time span. Such summaries can be useful in many domains, for instance in economics, e.g., “prices of X are getting smaller”, in eldercare, e.g., “resident Y is getting less active”, in managing production, e.g. “production is dropping” or “delays in deliveries are getting smaller”.

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Author information

Authors and Affiliations

  1. Information Systems School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Anna Wilbik & Uzay Kaymak

Authors
  1. Anna Wilbik
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  2. Uzay Kaymak
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Editor information

Editors and Affiliations

  1. University Montpellier 2, LIRMM - CNRS UMR 5506, 161, Rue Ada, 34392, Montpellier Cedex 5, France

    Anne Laurent

  2. LIRMM, UMR CNRS/Universite Montpellier II, 161 rue Ada, 34392, Montpellier cedex 5, France

    Olivier Strauss

  3. UPMC Univ. Paris 06, CNRS UMR 7606, LIP6, F-75005, Paris, France

    Bernadette Bouchon-Meunier

  4. Dept. of Information Systems, Iona College, 710 North Ave, 10801, New Rochelle, NY, USA

    Ronald R. Yager

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© 2014 Springer International Publishing Switzerland

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Wilbik, A., Kaymak, U. (2014). Gradual Linguistic Summaries. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_41

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  • DOI: https://doi.org/10.1007/978-3-319-08855-6_41

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08854-9

  • Online ISBN: 978-3-319-08855-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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