Priority diagnosis tree expert system of electronic devices controlling missile launch
Zhimin J. Yao, Hongyun Wang, Zhulin Wang, Xiwei Guo · 2010
According to the deep knowledge of the electronic device structure to build the original diagnosis tree, and classify the domain knowledge on the basis of the tree nodes. The experts can evaluate the tree nodes by certain indicators, using fuzzy group Multi-attribute Decision-making method, complying with the rule that the greater the vulnerability C the higher the priority, to gain the priority. Building the diagnosis tree of the electronic devices which control the missile launch and making the trapezoidal fuzzy number M to be fuzzy membership function, defining the criteria for each membership function, calculating the degree of vulnerability C of each node and sorting by size, to gain the priority diagnosis tree. This expert system is smarter than the reasoning strategy of the traditional expert system, searching the entire Knowledge Base for each diagnosis is not necessary, can just search the rule base of the highest priority node. Diagnostic efficiency is increased and the matching rules are more flexible.