NDLI: A Boolean Pruning Method for Improving Tableau Reasoning Efficiency in First-Order Multiple-Valued Logics

Content Provider	IEEE Xplore Digital Library
Author	Quan Liu Zhi-Ming Cui Ji-Gui Sun Wan-Jun Yu
Copyright Year	2006
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Soochow Univ. (Quan Liu; Zhi-Ming Cui)
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
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2548
Ending Page	2553
File Size	311805
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Boolean functions Fuzzy logic Logic functions Sun Educational institutions Computer science Educational technology Computer science education Laboratories Knowledge engineering Regular formula Multiple-valued logics Quantifier Tableau method Upper/lower set
Content Type	Text
Resource Type	Article

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