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Parameterized Uncertain Reasoning Approach Based on a Lattice-Valued Logic

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6717))

Abstract

This paper presents a parameterized reasoning approach with uncertainty based on a lattice-valued logic system. In this uncertain reasoning approach, some parameters are used to represent uncertainty arising from different sources, which is a common phenomenon in rule-based systems. In our system, reasoning with different parameter values means reasoning with different levels of belief and consistency. Some methods are presented for selecting appropriate parameter values during the uncertain reasoning process which allow us to find suitable parameter values to meet the diverse practical and theoretical requirements.

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Chen, S., Liu, J., Wang, H., Augusto, J.C. (2011). Parameterized Uncertain Reasoning Approach Based on a Lattice-Valued Logic. In: Liu, W. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2011. Lecture Notes in Computer Science(), vol 6717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22152-1_49

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  • DOI: https://doi.org/10.1007/978-3-642-22152-1_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22151-4

  • Online ISBN: 978-3-642-22152-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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