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Fuzziness – Representation of Dynamic Changes by Ordered Fuzzy Numbers

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Views on Fuzzy Sets and Systems from Different Perspectives

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 243))

Preface

In our daily life there are many cases when observations of objects in a population are fuzzy, inaccurate. Fuzzy concepts have been introduced in order to model such vague terms as observed values of some physical or economical terms. Measured physical fields or observed economical parameters may be inaccurate, noisy or difficult to measure and to observe with an appropriate precision because of technical reasons.

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    Witold Kosiński, Piotr Prokopowicz & Darek Kacprzak

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  1. Witold Kosiński
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  2. Piotr Prokopowicz
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  3. Darek Kacprzak
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  1. Medical University of Vienna, Austria

    Rudolf Seising

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Kosiński, W., Prokopowicz, P., Kacprzak, D. (2009). Fuzziness – Representation of Dynamic Changes by Ordered Fuzzy Numbers. In: Seising, R. (eds) Views on Fuzzy Sets and Systems from Different Perspectives. Studies in Fuzziness and Soft Computing, vol 243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93802-6_24

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  • DOI: https://doi.org/10.1007/978-3-540-93802-6_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-93801-9

  • Online ISBN: 978-3-540-93802-6

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