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Uncertain reasoning algorithm of fuzzy rule - based matrix transform

Author: ZhangGuo
Tutor: ChenQingHua
School: Nanjing University of Technology and Engineering
Course: Applied Computer Technology
Keywords: intelligent firewall inexact reasoning correlation Analysis
CLC: TP18
Type: Master's thesis
Year: 2011
Downloads: 23
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Abstract


This paper analyzes the characteristics and shortcomings of the technology of traditional firewall, and notes that it’s necessary to study the technology of intelligent firewall. Moreover, the research of the scholars at home and abroad on Intelligent Firewall technology was introduced in the paper. Then it suggests that this is necessary to study the inexact reasoning algorithm of intelligent firewall based on the uncertainty information on the network in current and the present situation of uncertainty reasoning method.Knowledge is the basis of a reasoning system, the reasoning system has intelligence due to it contains knowledge. In order to make the computer simulate human’s intelligent action, we need to model the knowledge in an appropriate way and store it into the computer, and then it becomes to be a data structure which the computer can accept. It contains several methods of knowledge representation and the method of knowledge acquisition based on classification of knowledge source in the article. In addition, it enumerates the rule set of intelligent firewall in the paper, which is used in the inexact reasoning.This article outlines some reasoning methods which were often used currently, including both the exact and the inexact reasoning algorithms. We make a detailed analysis and demonstration on the inexact algorithm which we would like to improve. And we find that the result of reasoning is well in the case that the structure of rules is ring or full connected, but in other topology, like topology tree and topology star, the results of reasoning are not satisfactory. In the paper, we improve the algorithm by adding a relevant analysis module into the old algorithm. The relevant analysis module is used to identify the implicit relationship between the conditions among the rule set, and add this relationship expressed as the form of fuzzy production rules into the rule set, and then perform the reasoning.Finally, using the firewall rules to verify the reasoning of both the the original and the improved algorithm, we can find that the reasoning ability of improved algorithm is better than the original algorithm by comparing the two results.

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