Reduction method and system for reliability evaluation indexes of power communication network

Abstract

The invention provides a reduction method and system for reliability evaluation indexes of a power communication network. A sample matrix of the reliability evaluation indexes of the power communication network is established; a whitenization weight function of all the indexes is established, and a weight coefficient matrix and a synthetic weight coefficient matrix of all the indexes are calculated and acquired; grey clustering is conducted on all sampling points in the synthetic weight coefficient matrix; the clustered synthetic weight coefficient matrix is converted into a decision attribute table, attribute reduction is conducted on the decision attribute table, a minimum attribute subset is acquired, attribute value reduction is conducted on the minimum attribute subset, and a minimum decision rule set is acquired. By the adoption of the method and system, redundant indexes in an index system are removed, the index system can be optimized, analysis efficiency and accuracy are improved, and the power communication network reliability evaluation index system is more reasonable, effective and scientific.

Description

technical field [0001] The invention relates to the technical field of electric power communication networks, in particular to a method and system for reducing reliability evaluation indexes of electric power communication networks. Background technique [0002] Communication network reliability has always been a research hotspot in the field of communication and information engineering. Wide range of applications. [0003] Traditional communication network reliability research methods mainly include Boolean algebra method, polynomial method, fuzzy reliability method, artificial neural network method, genetic algorithm and algorithm based on stochastic model. With the continuous development of communication network scale and technical level, the impact surface and depth of communication network failures are also expanding. Traditional communication network reliability research methods focus on the analysis of local details of the system. When analyzing the reliability of la...

AI Technical Summary

Problems solved by technology

[0005] However, due to the complexity, polymorphism, and randomness of system behavior of the communication network, there must be more or less correlation among the factors affecting the reliability of the communication network, and the evaluation indicators obtained from this inevitably have Redundant indicators, therefore, there are common problems of duplication in the process of establishing the indicator system

Images