A method and device for credit rating of transportation entities based on k-means
A technology of k-means clustering and transportation, applied in the field of information processing, can solve problems such as deviation of rating results, inability to interconnect data resources, and insufficient authenticity of original data, etc.
Active Publication Date: 2022-08-05
XIAMEN GNSS DEV & APPL CO LTD
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0002] In related technologies, because the transportation subject involves all aspects of the transportation field, the obtained data resources are scattered and difficult to be effectively applied. The data resources of various relevant departments cannot be interconnected, which greatly affects the progress of matters that require the cooperation of relevant departments. And efficiency, because the original data obtained in credit rating is not real enough, and it is difficult to correlate the obtained original data with its related data, so it is easy to make the rating result deviate, resulting in poor rating effect
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0031] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.
[0032] For better understanding of the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present invention...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The present invention disclosed a credit rating method and device based on the main body of transportation based on K‑Means. Among them, the method includes: obtaining the original credit data of the main body of transportation and preparing pre -processing to obtain multi -dimensional indicators.The dimension index is treated with dimensions in order to classify the multi -dimensional indicators and obtain the corresponding factors of each category; use the K‑Means cluster algorithm to process the various factors after dimension reduction to obtain the optimal data after the clustering class.Collection; according to the obtained clustering category, the optimal data set adopts factor analysis method, entropy value method, and the Critic weight method to calculate the weight corresponding to various indicators, and use the listing and normalization methods to obtain the weight value of various indicators.; Get the pre -set score value and corresponding scoring level, and obtain the credit score value of various indicators according to the weight values of various indicators in order to match the credit score level of various indicators according to the 3Sigma principle., Thus greatly improved rating effects.
Description
technical field [0001] The invention relates to the technical field of information processing, and in particular to a K-means-based transportation subject credit rating method, a computer-readable storage medium, a computer device, and a K-means-based transportation subject credit rating device . Background technique [0002] In related technologies, the transportation subject is involved in all aspects of the transportation field, which makes the acquired data resources scattered and difficult to apply effectively, and the data resources of various relevant departments cannot be interconnected, which greatly affects the progress of matters that require relevant departments to work together. In the process of credit rating, the obtained raw data is not real enough, and the obtained raw data is difficult to correlate with its related data, so that the rating results are easily biased, resulting in poor rating effect. SUMMARY OF THE INVENTION [0003] The present invention ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06K9/62G06Q50/30
CPCG06Q10/06393G06Q50/30G06F18/23213G06F18/241
Inventor 苏敏咸贺效鹏黄栋良沈益艺陈明波张艳连娜
Owner XIAMEN GNSS DEV & APPL CO LTD