Bao Wei Zheng

The KIPS Transactions:PartD, Vol. 17, No. 6, pp. 405-414, Dec. 2010
10.3745/KIPSTD.2010.17.6.405,   PDF Download:

Abstract

A rule is defined as a case to determine the target values according to combination of various Business factors. The information system is used to represent enterprise`s business, which includes and implements the amount of these rules to Rule-Based System. A Rule-Based System can be constructed by using the rules engine method or Relational Database technology. Because the rules engine method has some disadvantages, the Rule-Based System is mostly developed with Relational Database technology, When business scales become larger and more complex, a large number of various rule cases must be operated in system, and processing these rule cases requires additional time, overhead and storage space. and the speed of execution slows down. To solve these problems, we propose a simplification algorithm that converts a large amount of rule cases to simplification rule cases with same effects. The proposed algorithm is applied to hypothetical business rule data and a large number of simplification experiments and tests are conducted. The final results proved that the number of rows can be reduced to some extent The proposed algorithm can be used to simplify business rule data for improving performance of the Rule-Based System implemented with the Relational Database.

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