
Resolution-based automated reasoning is one of most important research directions in AI, semantic method is one of the most important reform methods for resolution principle, in semantic resolution method, it utilize the technology that restraining the type of clauses and the order of literals participated in resolution procedure to reduce the redundant clauses, and can improve the efficiency of reasoning, α - resolution principle on lattice-valued logic based on lattice implication algebra provide a alternative tool to handle the automated reasoning problem with uncomparability and fuzziness information. it can refutably prove the unsatisfiability of logical formulae in lattice-valued logic system. Firstly, this paper discussed the property of one class of generalized clause set on lattice-valued propositional logic LP(X), this generalized clause set can be divided into two non-empty sets, the semantic resolution method on it is investigated and sound theorem and weak complete theorem of this semantic resolution method were proved.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
