计算机工程与应用2019，Vol.55Issue(21)：65-72,97,9.DOI:10.3778/j.issn.1002-8331.1901-0069
基于用户心理行为的云制造知识服务优选决策
Optimal Decision-Making for Cloud Manufacturing Knowledge Service Based on User’s Psycho-logical Behavior
摘要
Abstract
In order to improve the selection quality of knowledge service in cloud manufacturing environment, a cloud manufacturing knowledge service optimization method based on user’s psychological behavior is proposed. Based on the analysis of cloud manufacturing knowledge service characteristics, the optimization evaluation index system of cloud manufacturing knowledge service is set up. The rough set theory is used to assign initial weights to each evaluation index, and the initial weights are adjusted according to the multiple-attribute preferences of user’s to ensure the rationality of weight distribution. On this basis, combining with the users psychological behavior analysis in the decision-making process and regret theory, the perceived value matrix of cloud manufacturing knowledge service is constructed, and the compre-hensive perceived value of each knowledge service is calculated by integrating the above index weights to obtain the optimal cloud manufacturing knowledge service. Finally, an application example is used to verify the effectiveness and practicality of this method.关键词
云制造/知识服务/后悔规避/心理行为/多属性偏好Key words
cloud manufacturing/knowledge service/regret aversion/psychological behavior/multiple-attribute preference分类
机械制造引用本文复制引用
尹超,唐力明,李孝斌..基于用户心理行为的云制造知识服务优选决策[J].计算机工程与应用,2019,55(21):65-72,97,9.基金项目
国家自然科学基金(No.51875065) （No.51875065）
国家高技术研究发展计划(863)(No.2015AA042102) （863）
中国博士后基金(No.2017M622975). （No.2017M622975）
