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Periodic Generalized-Differentiable Solutions to Fuzzy Differential Equations

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Combining Soft Computing and Statistical Methods in Data Analysis

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 77))

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Abstract

We study the existence of solution to a class of periodic boundary value problems for first-order fuzzy differential equations under generalized differentiability.

We allow the coefficient of the linear equation to change its sign an arbitrary number of times in the interval of interest, extending some previous results.

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Rodríguez-López, R. (2010). Periodic Generalized-Differentiable Solutions to Fuzzy Differential Equations. In: Borgelt, C., et al. Combining Soft Computing and Statistical Methods in Data Analysis. Advances in Intelligent and Soft Computing, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14746-3_67

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  • DOI: https://doi.org/10.1007/978-3-642-14746-3_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14745-6

  • Online ISBN: 978-3-642-14746-3

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