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A Review of Uncertainty Handling Formalisms

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Applications of Uncertainty Formalisms

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1455))

Abstract

Many different formal techniques, both numerical and symbolic, have been developed over the past two decades for dealing with incomplete and uncertain information. In this paper we review some of the most important of these formalisms, describing how they work, and in what ways they differ from one another. We also consider heterogeneous approaches which incorporate two or more approximate reasoning mechanisms within a single reasoning system. These have been proposed to address limitations in the use of individual formalisms.

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Authors and Affiliations

  1. Department of Electronic Engineering, Queen Mary and Westfield College, University of London, London, E1 4NS, UK

    Simon Parsons

  2. Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, UK

    Anthony Hunter

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  1. Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, UK

    Anthony Hunter

  2. Queen Mary and Westfield College, Department of Electronic Engineering, University of London, London, E1 4NS, UK

    Simon Parsons

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Parsons, S., Hunter, A. (1998). A Review of Uncertainty Handling Formalisms. In: Hunter, A., Parsons, S. (eds) Applications of Uncertainty Formalisms. Lecture Notes in Computer Science(), vol 1455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49426-X_2

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