Comprehensive evaluation method based on combination of set pair theory and radar map method

Abstract

The invention relates to a comprehensive evaluation method based on the combination of a set pair theory and a radar map method, and the method comprises the steps: constructing an expected variance type binary connection number of each evaluation index at each observation point, and calculating a modulus and an argument of the binary connection number; calculating a central angle corresponding to each evaluation index in the radar map according to the weight of each evaluation index, and dividing the radar map into index areas with corresponding parts according to the central angle of each evaluation index; a sector is drawn in the corresponding index area on the radar map by taking the modulus of the binary correlation number as the radius and the argument as the central angle; and evaluating each observation point through the total area and the total perimeter of each sector on the radar map. In order to overcome the defects of an existing radar map method, a set pair analysis theory is used for constructing a binary correlation number for data statistics, a distribution rule of a modulus and an argument of the correlation number on a radar map is given, a sector area and a perimeter occupied by the correlation number are used as evaluation functions, and good and bad sorting of each evaluation scheme is realized.

Description

technical field [0001] The invention belongs to the technical field of comprehensive evaluation of data, in particular to a comprehensive evaluation method based on the combination of set pair theory and radar chart method. Background technique [0002] The scale of information in modern society is getting bigger and bigger, and the incompleteness and uncertainty of information are becoming more and more common. Facing the complex multi-index comprehensive evaluation problem caused by massive fuzzy information, the existing information processing tools are stretched. How to use more reasonable tools to effectively deal with the obtained large-scale uncertain information and obtain corresponding evaluation results has become a key point of comprehensive evaluation. [0003] Many scholars and related institutions have done a lot of work on the comprehensive evaluation model (see references [1-8]). Radar chart method is a multi-variable comparative analysis technology, which ...

AI Technical Summary

Problems solved by technology

Although the comprehensive evaluation based on the radar chart method has achieved certain results, there are still deficiencies: (1) With the rapid development of computer and big data technology, the storage and retrieval of massive monitoring data has become a reality, while the existing radar chart method The data used are often only cross-sectional data at a certain time, and the information value of the massive monitoring data has not been fully excavated; (2) The division of the fan-shaped areas of each indicator cannot effectively solve the problem of the boundary of adjacent indicators; (3) the drawn The area and perimeter of the radar map occupy too much irrelevant area, resulting in large calculation errors and affecting the final judgment result

Images