Title | ||
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On compatibilities of α-lock resolution method in linguistic truth-valued lattice-valued logic |
Abstract | ||
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The paper focuses on the efficient resolution-based automated reasoning theory, approach and algorithm for a lattice-ordered linguistic truth-valued logic. Firstly two hybrid resolution methods in linguistic truth-valued lattice-valued logic are proposed by combining α-lock resolution with generalized deleting strategy and α-linear resolution. α-Lock resolution for first-order linguistic truth-valued lattice-valued logic $$\fancyscript{L}_{V(n \times 2)}F(X)$$ is equivalently transformed into that for propositional logic $$L_{n}P(X)$$ which reduce much the complexity of the resolution procedure. Then the compatibilities of α-lock resolution with generalized deleting strategy and α-linear resolution are discussed. We finally contrive an algorithm for α-linear semi-lock resolution and some examples are provided to illustrate the proposed theory and algorithm. This work provides effective support for automated reasoning scheme in linguistic truth-valued logic based on lattice-valued algebra with the aim at establishing formal tools for symbolic natural language processing. |
Year | DOI | Venue |
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2012 | 10.1007/s00500-011-0779-z | Soft Comput. |
Keywords | Field | DocType |
Linguistic truth-valued lattice-valued logic,α-Lock resolution,Compatibilities,Generalized deleting strategy,α-Linear resolution,α-Linear semi-lock resolution | Automated reasoning,Lattice (order),Computer science,Lock (computer science),Propositional calculus,Linguistics | Journal |
Volume | Issue | ISSN |
16 | 4 | 1432-7643 |
Citations | PageRank | References |
5 | 0.43 | 15 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
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Xingxing He | 1 | 84 | 13.90 |
Yang Xu | 2 | 711 | 83.57 |
Jun Liu | 3 | 644 | 56.21 |
Shuwei Chen | 4 | 121 | 12.14 |