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Interpretation of Group Measurements of Validation Data Using Fuzzy Techniques in an Object-Oriented Approach

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

Abstract

Fuzzy logic is particularly indicated for representing the uncertainty associated with the processes that take place in non-probabilistic systems. It is also useful for the linguistic quantification of sets in which the classification of concepts and events is affected by semantic imprecision. We describe a fuzzy method designed to assist with interpretations of group measurements obtained from validation data for intelligent systems operating in complex domains. The method described was implemented applying an object-oriented paradigm. The suitability of using fuzzy methods and an object-oriented approach are both discussed in the article.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of A Coruña, A Coruña, 15071, Spain

    Eduardo Mosqueira-Rey & Vicente Moret-Bonillo

Authors
  1. Eduardo Mosqueira-Rey
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  2. Vicente Moret-Bonillo
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Mosqueira-Rey, E., Moret-Bonillo, V. (2006). Interpretation of Group Measurements of Validation Data Using Fuzzy Techniques in an Object-Oriented Approach. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_143

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  • DOI: https://doi.org/10.1007/11893011_143

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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