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
Valuation spaces with respect to diverse implication operators are investigated in a unified way where the Lebesgue measure is a commonly used measure, and it is proved that all the logic formulas are measurable funct...Valuation spaces with respect to diverse implication operators are investigated in a unified way where the Lebesgue measure is a commonly used measure, and it is proved that all the logic formulas are measurable functions with respect to popularly used implication operations. The concept of t-(α-tautology) is introduced and rules of generalized modus ponens (MP) and hypothetic syllogism (HS) are established in the sense of semantics. The concept of truth degree of a logic formula is introduced and rules of integral MP and integral HS are proposed. Finally, a kind of pseudo-metric is introduced to the set consisting of all logic formulas by establishing a universal logical metric space, making it possible to develop a new type of approximate reasoning arise.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）.
文摘Valuation spaces with respect to diverse implication operators are investigated in a unified way where the Lebesgue measure is a commonly used measure, and it is proved that all the logic formulas are measurable functions with respect to popularly used implication operations. The concept of t-(α-tautology) is introduced and rules of generalized modus ponens (MP) and hypothetic syllogism (HS) are established in the sense of semantics. The concept of truth degree of a logic formula is introduced and rules of integral MP and integral HS are proposed. Finally, a kind of pseudo-metric is introduced to the set consisting of all logic formulas by establishing a universal logical metric space, making it possible to develop a new type of approximate reasoning arise.
