DocumentCode :
2893960
Title :
A Boolean Pruning Method for Improving Tableau Reasoning Efficiency in First-Order Multiple-Valued Logics
Author :
Liu, Quan ; Cui, Zhi-ming ; Sun, Ji-gui ; Yu, Wan-Jun
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
2548
Lastpage :
2553
Abstract :
Tableau method with quantifiers in first-order multiple-valued logic has uniform rules of extension, and sound and completeness have been proved by Zabel and so on. The number of branches increases in exponent with the increasing of truth-value, which will affect the performance efficiency of machine. A Boolean pruning method is proposed in this paper, which simplified the extended rules of logic formula with quantifiers in first-order multiple-valued greatly by linking the signed formula and upper/lower bound of set. In addition, through the analyzing of Boolean pruning method, simplified tableau reasoning method for a kind of special regular logic formulae in first-order multiple-valued was founded, which made logic tableau reasoning method with quantifiers in first-order multiple-valued is similar to classical logic tableau method
Keywords :
Boolean algebra; inference mechanisms; multivalued logic; Boolean pruning method; first-order multiple-valued logics; regular logic formula; simplified logic tableau reasoning method; Boolean functions; Computer science; Computer science education; Cybernetics; Educational institutions; Educational technology; Fuzzy logic; Knowledge engineering; Laboratories; Logic functions; Machine learning; Sun; Multiple-valued logics; Quantifier; Regular formula; Tableau method; Upper/lower set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258847
Filename :
4028493
Link To Document :
بازگشت