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Part of the book series: Symbolic Computation ((1064))

Abstract

Variable-valued logic is an extension of some known many-valued logics (MVL) in two directions:

  1. 1.

    It permits the propositions and variables in the propositions to take values from different domains, which can vary in the kind and number of elements and also in the structure relating to the elements.

  2. 2.

    It generalises some of the traditionally used operators and adds new operators which are ‘most orthogonal’ to the former.

Variable-valued logics have found applications in pattern recognition, medical decision making, discrimination of structural textures. These logics have been successfully used in construction of diagnostic expert systems that can acquire knowledge by inductive learning from examples.

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References

  • Michalski, R.S. Variable-valued logic and its application to pattern recognition and machine learning. In D.C. Rine, editor, Computer Science and Multiple-Valued Logic: Theory and Applications, North-Holland, Amsterdam and New York, 1977.

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  • Michalski, R.S. and Chilansky, R.L. Knowledge acquisition by encoding expert rules versus Computer induction from examples: a case study involving soya-bean pathology. In Fuzzy Reasoning and its Applications, Academic Press, London, 1981.

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© 1990 Springer-Verlag Berlin Heidelberg

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Bundy, A. (1990). V. In: Bundy, A. (eds) Catalogue of Artificial Intelligence Techniques. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97276-8_22

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  • DOI: https://doi.org/10.1007/978-3-642-97276-8_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-97278-2

  • Online ISBN: 978-3-642-97276-8

  • eBook Packages: Springer Book Archive

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