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A formal model to compute uncertain continuous data

Abstract : Current researches in the domain of Information and Communication Technologies describe and extend the existing formalisms to develop systems that compute uncertain data. Indeed, handling uncertain data is a great challenge for complex systems. In this article, we provide a formal model to compute such data rigorously. Such quantities may be interpreted as either possible or probable values, added to their interdependencies. For this, the algebraic structure we defined is a vector space. We then provide a particular way for mixing such continuous quantities.
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Contributor : Jérôme Dantan <>
Submitted on : Thursday, October 13, 2016 - 5:11:01 PM
Last modification on : Friday, January 31, 2020 - 4:12:06 PM


  • HAL Id : hal-01380991, version 1



Jérôme Dantan, Yann Pollet, Salima Taibi. A formal model to compute uncertain continuous data. CS-DC'15 World e-conference, Sep 2015, e-conference, France. ⟨hal-01380991⟩



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