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Resolution Method of Six-Element Linguistic Truth-Valued First-Order Logic System

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Book cover Intelligent Computation in Big Data Era (ICYCSEE 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 503))

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Abstract

Based on 6-elements linguistic truth-valued lattice implication algebras this paper discusses 6-elements linguistic truth-valued first-order logic system. With some special properties of 6-elements linguistic truth-valued first-order logic, we discussed the satisfiable problem of 6-elements linguistic truth-valued first-order logic and proposed a resolution method of 6-elements linguistic truth-valued first-order logic. Then  the resolution algorithm is presented and an example illustrates the effectiveness of the proposed method.

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Zou, L., Liu, D., Wang, Y., Qu, J. (2015). Resolution Method of Six-Element Linguistic Truth-Valued First-Order Logic System. In: Wang, H., et al. Intelligent Computation in Big Data Era. ICYCSEE 2015. Communications in Computer and Information Science, vol 503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46248-5_5

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  • DOI: https://doi.org/10.1007/978-3-662-46248-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46247-8

  • Online ISBN: 978-3-662-46248-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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