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Is Time Fuzzy?

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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

Part of the book series: Studies in Computational Intelligence ((SCI,volume 892))

Abstract

Imprecision of time measurements, subjective perception of time, flexible management of time, are examples of reasons to use a fuzzy modeling of time. Although all fuzzy set-based knowledge representations can be applied to time, its particular nature leads to specific treatments. We give examples of fuzzy methods to deal with time, in temporal reasoning, linguistic summarization of data, forecasting and scoring and also in spatio-temporal reasoning.

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Authors and Affiliations

  1. CNRS, Laboratoire d’Informatique de Paris 6, LIP6, Sorbonne Université, 75005, Paris, France

    Bernadette Bouchon-Meunier

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  1. Bernadette Bouchon-Meunier
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Correspondence to Bernadette Bouchon-Meunier .

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  1. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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Bouchon-Meunier, B. (2021). Is Time Fuzzy?. In: Kreinovich, V. (eds) Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas. Studies in Computational Intelligence, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-45619-1_4

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