International Journal of Computational Intelligence Systems (Nov 2012)

α-Generalized lock resolution method in linguistic truth-valued lattice-valued logic

  • Xingxing He,
  • Yang Xu,
  • Jun Liu,
  • Shuwei Chen

DOI
https://doi.org/10.1080/18756891.2012.747665
Journal volume & issue
Vol. 5, no. 6

Abstract

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This paper focuses on effcient non-clausal resolution-based automated reasoning methods and algorithms for a lattice-ordered linguistic truth-valued logic, which corresponds to extensions of α-lock resolution. Firstly, α-generalized lock resolution is proposed for lattice-valued propositional logic and first order logic, respectively, along with their concepts, soundness and completeness. Then, α-generalized lock resolution for first order linguistic truth-valued lattice-valued logic F(X) is equivalently transformed into that for propositional logic P(X), which can greatly reduce the complexity of the resolution procedure. Finally, α-generalized linear semi-lock resolution is discussed, and its general algorithm is also contrived. This work provides more efficient and natural resolution automated reasoning scheme in linguistic truth-valued logic based on lattice implication algebra with the aim at establishing formal tools for symbolic natural language processing.

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