Research on Comprehensive Quality Evaluation Method Based on Cooperative Performance

Cheng-Bin Wang, Fachao Li
{"title":"Research on Comprehensive Quality Evaluation Method Based on Cooperative Performance","authors":"Cheng-Bin Wang, Fachao Li","doi":"10.1109/ICMLC48188.2019.8949166","DOIUrl":null,"url":null,"abstract":"Comprehensive quality evaluation is the measure of the members' comprehensive ability and the premise and foundation of improving the team's operation efficiency. How to accurately obtain the comprehensive quality of members has been a widely concerned issue in the academic and application fields. Taking cooperative performance as the main observation index, this paper proposes a comprehensive quality evaluation model based on cooperative performance, and analyzes the characteristics and shortcomings of this model. In order to solve the problem that the solution cannot be guaranteed, the method of multi objective programming is applied to give the solution strategy based on the deviation variable. Finally, the feasibility and effectiveness of the model are analyzed with a case study. Theoretical analysis and example calculation show that the model has good interpretability and operability, which not only improves the existing evaluation methods to a certain extent, but also has wide application value in the fields of resource allocation, artificial intelligence and recommendation system.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC48188.2019.8949166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Comprehensive quality evaluation is the measure of the members' comprehensive ability and the premise and foundation of improving the team's operation efficiency. How to accurately obtain the comprehensive quality of members has been a widely concerned issue in the academic and application fields. Taking cooperative performance as the main observation index, this paper proposes a comprehensive quality evaluation model based on cooperative performance, and analyzes the characteristics and shortcomings of this model. In order to solve the problem that the solution cannot be guaranteed, the method of multi objective programming is applied to give the solution strategy based on the deviation variable. Finally, the feasibility and effectiveness of the model are analyzed with a case study. Theoretical analysis and example calculation show that the model has good interpretability and operability, which not only improves the existing evaluation methods to a certain extent, but also has wide application value in the fields of resource allocation, artificial intelligence and recommendation system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于合作绩效的综合质量评价方法研究
综合素质评价是衡量团队成员综合能力的尺度,是提高团队运作效率的前提和基础。如何准确地获取会员的综合素质,一直是学术界和应用领域广泛关注的问题。本文以合作绩效为主要观察指标,提出了一种基于合作绩效的综合质量评价模型,并分析了该模型的特点和不足。为了解决不能保证解的问题,应用多目标规划方法给出了基于偏差变量的求解策略。最后,通过实例分析了该模型的可行性和有效性。理论分析和算例计算表明,该模型具有良好的可解释性和可操作性,不仅在一定程度上改进了现有的评价方法,而且在资源分配、人工智能和推荐系统等领域具有广泛的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Empirical Study on the Classification of Chinese News Articles by Machine Learning and Deep Learning Techniques Posture Estimation Method Using Cushion Type Seat Pressure Sensor Advanced Convolutional Neural Network With Feedforward Inhibition Utilization of the Infrared Image Capturing Combustion State for Estimating the Steam Flow Aming to Stabilize Garbage Power Generation Domain Adaption for Facial Expression Recognition
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1