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Research Of Tax Check System Based On Production Rule

Posted on:2005-06-01Degree:MasterType:Thesis
Country:ChinaCandidate:J H YanFull Text:PDF
GTID:2168360122998823Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Tax check System is designed for improving quality and efficiency of Tax Check, the paper introduces how to apply production rules to determine nature and punish in the systerm, in other words, that means we amend into rule base and infer the result through matching rule and correlative algorithms.The paper focuses on the following two aspects.Firstly, the paper introduces how the system employs some technologies of database to augment the body of knowledge base, and achieves a large-scale knowledge. In detail, the system takes use of RDB to represent, store and maintain production rules, converts the structureless production rule into a linear structure and stores the latter in RDB. In order to maintain the rules conveniently, we make use of the technology of RDBMS in managing data, for the trait of production rule, and then we design and realize the arithmetic to check the rules' equivalent and circulation.Secondly, the paper focuses on inference engine. Baseingon the fact that RDB stores the knowledge, the advantage of RDB and unite the technology of database's index, association and filter, we design a reasonable inference mechanism.The paper also introducrs the concept of basic principles of knowledge base, Expert System, Expert Database System and TaxCheck System .The system development adopt Client/Server mode combined with Brower/Server mode, in which Windows 2000 Advance Server is used as main server, as web server. Microsoft SQL Server 2000 as database server, client adopts Power Builder9.0 as developing means.The kind of the EDS not only can be adopted in determine nature and punish in Tax check System systerm, but can be applied in other similar ES. Through improving the method, it can be made a framework of simiar EDS, that means the shell of ES.
Keywords/Search Tags:expert system, production rule, relational database, knowledge obtain, knowledge base, inference engine
PDF Full Text Request
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