Open AccessResearch on accurate quantification of membership of distribution terminal index based on cloud model
Author(s) -
Mengke Liao,
Huijuan Xu,
Xinhui Cao,
Yuting Dong,
Honglian Zhou,
Shengli Bai,
Xiangwei Xing
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012045
Subject(s) - cloud computing , redundancy (engineering) , index (typography) , computer science , data mining , degree (music) , interval (graph theory) , statistics , mathematics , physics , world wide web , acoustics , operating system , combinatorics
In order to accurately assess the health status of distribution terminals, it is necessary to solve the problems of strong subjectivity and high redundancy of the index membership results in the evaluation index system. According to the empirical score given by experts, the cloud model is used to describe the actual index state and the level boundary interval respectively to form floating cloud and standard state cloud space, and the overlapping area of the two is used to represent the membership degree of the actual index. This can not only directly determine the results, but also eliminate the influence of redundant factors, and realize the accurate quantification of the index membership degree results, which widens the direction for further improving the final evaluation effect.