首页|Supplier Data Association Portrait Model Based on Improved Fuzzy Algorithm
Supplier Data Association Portrait Model Based on Improved Fuzzy Algorithm
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万方数据
维普
With the advent of the Big Data era,the amount of data on supplier information is increasing geometrically.Buyers want to use this data to find high quality suppliers before purchasing,so as to reduce transaction risks and guarantee transaction quality.Supplier portraits under big data can not only help buyers select high quality suppliers,but also monitor the abnormal behavior of suppliers in real time.In this paper,the supplier data under big data are normalized,correlation analysis is performed,ratings are assigned,and classification is made through fuzzy calculation to give some reference and provide early warning tips for buyers.In addition,this paper is based on the data of active suppliers in the Jiangxi Open Data Innovation Application Competition,and realizes the data mining of two-dimensional labels and statistical types,thus forming the supplier portrait model.This paper aims to study supplier data analysis in the big data environment,hoping to provide some suggestions and guidances for the procurement work of related governments,enterprises and individuals.
big datadata miningopen innovationtry monitoringportrait modeling
GAN Dejun、LIU Shuyang、HAN Zhihong、HUANG Zhiyuan、LI Shenshen
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School of Mechanical and Electronic Engineering,Jingdezhen Ceramic University,Jingdezhen 333403,China
School of Electromechanical and Information Engineering,Putian University,Putian 351100,China
万方数据
维普
