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What Concrete Things Does Fuzzy Propositional Logic Describe?

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PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

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Abstract

Outside of the fuzzy community, questions persist about the most common fuzzy logic as a guide to propositional truth and so, despite many practical successes, about its fitness for describing real phenomena. The paper assesses the realistic expressiveness of the logic by showing that any ordinary and non- fuzzy linear programming model can be mechanically translated into a fuzzy propositional model, and vice versa. Since linear programs are realistic, versatile, and robust, the fuzzy propositional logic cannot be otherwise.

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Author information

Authors and Affiliations

  1.  , P.O. Box 6134, Concord, NH, 03303-6134, USA

    Paul Snow

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  1. Paul Snow
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

    Chengqi Zhang

  2. Department of Computer Science, Auckland University of Technology, 1020, Auckland, New Zealand

    Hans W. Guesgen

  3. Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

    Wai-Kiang Yeap

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© 2004 Springer-Verlag Berlin Heidelberg

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Snow, P. (2004). What Concrete Things Does Fuzzy Propositional Logic Describe?. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_48

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  • DOI: https://doi.org/10.1007/978-3-540-28633-2_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

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