Scoring matrix consistency checking method and device

Abstract

The invention provides a consistency checking method and device for a scoring matrix. The method is used for improving the consistency checking efficiency. Comprising the steps that after a scoring matrix sent by a user is received, whether the scoring matrix passes consistency checking or not is judged through a first preset algorithm; if the scoring matrix does not pass the consistency check, dividing the scoring matrix by an intermediate matrix to obtain a disturbance matrix, each element in the intermediate matrix being obtained based on each element in the scoring matrix; the disturbance matrix and the zero disturbance matrix are subjected to weighted summation, a first matrix is obtained, the row number and the column number of the zero disturbance matrix are the same as those of the disturbance matrix, and all elements of the zero disturbance matrix are the same set value; and determining a Hadamard product between the first matrix and the intermediate matrix as a second matrix, determining the second matrix as a scoring matrix, and returning to the step of judging whether the scoring matrix passes the consistency check by using the preset algorithm until the scoring matrix passes the consistency check.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for checking the consistency of a scoring matrix. Background technique [0002] With the continuous development of society, sensing equipment is an indispensable part of urban digital intelligence. Since most of these devices are installed in windy and sun-dried environments, it is necessary to monitor and evaluate the quality of these sensing devices in a timely manner. Due to the sheer number of these devices, it is impractical to perform inspections by manpower. Therefore, it is necessary to use big data technology to build a set of perception device quality scoring models to monitor the quality of these perception devices in a timely manner. [0003] The perceptual device quality scoring model is usually designed as a tree-like hierarchical structure. Each node of each layer of the tree represents an indicator, and all its sub-nodes constitute su...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, if the scoring matrix fails the consistency check, experts are required to re-score the importance of these sub-indices, and then perform the consistency check until the scoring matrix passes the consistency check, but this method requires experts Manually score the importance of sub-indicators multiple times

As a result, the efficiency of the consistency check of the scoring matrix is ​​low

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