DocumentCode :
3731378
Title :
Non-clausal Multi-ary alpha-Generalized Resolution Principle for a Lattice-Valued First-Order Logic
Author :
Yang Xu;Jun Liu;Xingxing He;Xiaomei Zhong;Shuwei Chen
Author_Institution :
Sch. of Math., Southwest Jiaotong Univ., Chengdu, China
fYear :
2015
Firstpage :
1
Lastpage :
7
Abstract :
The present paper focuses on a resolution-based automated reasoning theory in a lattice-valued logic system with truth-values defined in a lattice-valued algebraic structure - lattice implication algebras (LIA) in order to handle automated deduction under an uncertain environment. Particularly, as a continuation and extension of the established work on binary resolution at a certain truth-value level α (called α-resolution), a non-clausal multi-ary α-generalized resolution principle and deduction are introduced in this paper for a lattice-valued first-order logic LF(X) based on LIA, which is essentially non-clausal generalized resolution avoiding the reduction to normal clausal form. Non-clausal multi-ary α-generalized resolution deduction in LF(X) is then proved to be sound and complete. The present work is expected to provide a theoretical foundation of more efficient resolution based automated reasoning in lattice-valued logic.
Keywords :
"Cognition","Indexes","Algebra","Lattices","Finite element analysis","Intelligent systems"
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Knowledge Engineering (ISKE), 2015 10th International Conference on
Type :
conf
DOI :
10.1109/ISKE.2015.88
Filename :
7383015
Link To Document :
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