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Relation Algebraic Approaches to Fuzzy Relations

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Relational and Algebraic Methods in Computer Science (RAMICS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6663))

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Abstract

Most information we encounter on a daily basis is flooded with imprecision and uncertainty. For example, we might say that Peter is tall without having a precise definition of tallness. Peter might be 2.00m high and is, therefore, considered tall. On the other hand, there might be Jon, measuring 1.60m, which we probably do not consider to be tall. It is not clear whether Charles with a height of 1.80m is tall or not. Most likely we would say that Charles is somewhat tall, meaning that ’tall’ better describes Charles than it does Jon, but not as good as it describes Peter. To handle such kind of information, Zadeh [24] introduced the concept of fuzzy sets.

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Authors and Affiliations

  1. Department of Computer Science, Brock University, St. Catharines, Ontario, Canada, L2S 3A1

    Michael Winter

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  1. Michael Winter
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Editors and Affiliations

  1. Faculty of Philosophy, Tilburg University, P.O. Box 90153, 5000, Tilburg, LE, The Netherlands

    Harrie de Swart

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Winter, M. (2011). Relation Algebraic Approaches to Fuzzy Relations. In: de Swart, H. (eds) Relational and Algebraic Methods in Computer Science. RAMICS 2011. Lecture Notes in Computer Science, vol 6663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21070-9_7

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  • DOI: https://doi.org/10.1007/978-3-642-21070-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21069-3

  • Online ISBN: 978-3-642-21070-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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