基于数据挖掘的供应商画像研究综述  

Research on Supplier Portraits Based on Data Mining

作　　者：马美娟 潘善亮[1] MA Mei-juan;PAN Shan-liang(Department of Information Science and Technology,Ningbo University,Ningbo 315211,China)

机构地区：[1]宁波大学信息科学与工程学院,宁波315211

出　　处：《无线通信技术》2020年第4期55-60,共6页Wireless Communication Technology

基　　金：浙江省公益性应用研究计划项目(2017C33001)。

摘　　要：随着数据时代的到来和数据挖掘技术的不断发展,分析供应商数据对供应商管理者来说更为重要,通过数据挖掘技术结合供应商画像的理论来对供应商进行全面分析,可以为供应链发展、政府监管部门等各方面提供可靠的数据分析。本文首先对当前的供应商画像发展现状及其构建过程进行总结和分析,其次构建基于数据挖掘技术对供应商画像指标体系和建模框架;然后基于数据挖掘算法的多准则决策模型和分类预测模型在供应商画像中的研究进展进行了总结;最后提出了对供应商画像未来的研究方向。With the advent of the era of data and the continuous development of data mining technology, data analysis of suppliers for supplier management is more important, through the data mining technology in combination with a picture of the suppliers of theory to the comprehensive analysis on the supplier, to supply chain development, government regulators and so on various aspects to provide reliable data analysis.This paper firstly summarizes and analyzes the current development status of supplier portrait and its construction process. Secondly, it constructs the index system and modeling framework of supplier portrait based on data mining technology.Then the research progress of multi-criteria decision model and classification prediction model based on data mining algorithm in supplier portrait is summarized.Finally, the future research direction of supplier portrait is put forward.

关 键 词：数据挖掘 供应商评估选择 供应商画像 多准则决策 供应商指标体系 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]