a-Input resolution and a-unit resolution for generalized Horn clause set are discussed in linguistic truth-valued lattice-valued first-order logic ( Lv( n × 2) F(X) ), which can represent and handle uncerta...a-Input resolution and a-unit resolution for generalized Horn clause set are discussed in linguistic truth-valued lattice-valued first-order logic ( Lv( n × 2) F(X) ), which can represent and handle uncertain linguistic values-based information. Firstly the concepts of a-input resolution and a.unit resolution are presented, and the equivalence of them is shown. Then α-input (a-unit) resolution is equivalently transformed from Lv( n × 2) F(X) into that of LnP(X), and their soundness and completeness are also established. Finally an algorithm for a-unit resolution is contrived in LnP( X).展开更多
基金National Natural Science Foundations of China (No. 60875034,No. 61175055)
文摘a-Input resolution and a-unit resolution for generalized Horn clause set are discussed in linguistic truth-valued lattice-valued first-order logic ( Lv( n × 2) F(X) ), which can represent and handle uncertain linguistic values-based information. Firstly the concepts of a-input resolution and a.unit resolution are presented, and the equivalence of them is shown. Then α-input (a-unit) resolution is equivalently transformed from Lv( n × 2) F(X) into that of LnP(X), and their soundness and completeness are also established. Finally an algorithm for a-unit resolution is contrived in LnP( X).