基于人工智能的协同办公平台质量评价方法  

The Quality Evaluation Method of Collaborative Office Platform Based on Artificial Intelligence

作　　者：李昀 吴华瑞[2,3,4] 韩笑 杨宝祝 李庆学[2,3,4] 顾静秋 LI Yun;WU Hua-rui;HAN Xiao;YANG Bao-zhu;LI Qing-xue;GU Jing-qiu(Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China;National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;Beijing Research Center for Information Technology in Agriculture,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China;Agriculture Key Laboratory of agricultural information software and hardware product quality testing,Ministry of Agriculture and Rural Affairs of the People’s Republic of China,Beijing 100097,China)

机构地区：[1]北京市农林科学院,北京100097 [2]国家农业信息化工程技术研究中心,北京100097 [3]北京市农业信息技术研究中心,北京100097 [4]农业部农业信息软硬件产品质量检测重点实验室,北京100097

出　　处：《电脑知识与技术》2019年第9X期183-186,共4页Computer Knowledge and Technology

基　　金：北京市科技计划项目,平谷农业科创区农业人工智能创新服务平台建设及示范应用(Z191100004019007);2019年度农业农村部农业信息软硬件产品质量检测重点实验室建设项目(PT2019-28)

摘　　要：协同办公平台打破了地域及空间限制,可降低办公成本,提高工作效率,而构建科学的质量评价模型是改进平台服务质量的基础。由于协同办公平台是集信息处理、业务流程和知识管理于一体的综合管理系统,各子系统质量评估缺乏统一的模型和方法。针对目前系统评价方法中存在的多度量指标难以量化与主观因素不确定性等问题,论文研究了系统质量度量指标量化标准,通过引入人工智能模型,利用PCA-RBF神经网络对系统质量进行全面合理的预测评估,实验结果表明,该模型能够量化分析平台的功能性、适用性和效率等构成的系统总体能力,有助于提高协同办公平台整体性能和服务效能。Automated office platform breaks the geographical and spatial constraints,reducing office costs and improving work efficiency.The scientific platform quality evaluation model is the basis for improving platform technology and service quality.As the collaborative office platform is an integrated management system which integrates information processing,business process and knowledge management,the quality evaluation methods of its subsystems serve the overall quality prediction of the platform.Aiming at the problems of multi-metrics and uncertainty of subjective factors existing in current system evaluation methods,this paper studies the quantitative criteria of system quality metrics.By introducing artificial intelligence model,the improved PCA-RBF neural network model is used to predict and evaluate the system quality objectively and reasonably.The model can improve the overall performance of the collaborative office platform and provide high-quality services for units and individuals.

关 键 词：协同办公平台 系统质量评价 人工智能 主成分分析 径向基神经网络 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]