Method of grade combination judgment based on object membership grade distribution
In order to understand the data form and grade division required in the evaluation,prediction and analysis of sys-tem function status,the concept of object membership grade distribution and the method of grade combination judgment were proposed.A variable system for analysis was established,and the similarity between two adjacent semantic grades was judged.A method for analyzing the similarity of multiple factor semantic grades was proposed,and finally a membership grade space was formed.The results show that the basis of evaluation,prediction and analysis of system function status is the data structure composed of target-object-factor-classification.The data structure can be presented in the form of object membership grade distribution.However,there are some problems in this distribution,such as inaccurate grade division,affected by multiple fac-tors,and inaccurate judgment of object membership grade.To solve these problems,a combination judgment method of factor semantic grade and grade range is proposed.Based on the expected number of objects appearing in the neighborhood,the neighborhood similarity is constructed.The combination judgment method and process of single factor semantic grade and grade range are given.The research results can provide a judgment method for determining the membership grade of objects and support the object classification such as safety assessment.
safety system engineeringsystem function statusobject membership gradeneighborhood similaritygrade combination
NETL
NSTL
万方数据
维普
