摘要
阐述人工智能辅助评审系统的应用,系统参与评标专家现场评审,提高评审质量,对专家异常打分现象识别与监测。探讨建立专家打分数据仓库,实现以大数据分析与评价模型为基础的专家动态考核评价体系,提高评标效率和透明度,利用信息化手段实现评标质量的动态评价。
This article elaborates on the application of artificial intelligence assisted evaluation systems,which participate in on-site evaluation by evaluation experts,improve the quality of evaluation,and identify and monitor abnormal scoring phenomena among experts.It explores the establishment of an expert scoring data warehouse,implementing a dynamic expert assessment and evaluation system based on big data analysis and evaluation models,improving bid evaluation efficiency and transparency,and utilizing information technology to achieve dynamic evaluation of bid evaluation quality.
作者
杨灿魁
YANG Cankui(Guangdong Power Grid Co.,Ltd.,Guangdong 510699,China)
出处
《集成电路应用》
2023年第4期394-397,共4页
Application of IC
基金
中国南方电网有限责任公司科技项目(030000KK52200010(GDKJXM20200422),030000KK52200011(GDKJXM20200464),030000KK52200013(GDKJXM20200478))。
关键词
大数据分析
人工智能
评审系统
评价模型
数据仓库
big data analysis
artificial intelligence
evaluation systems
evaluation models
data warehouses
