摘要
针对企业设计方案优选决策过程中,未充分考虑不同专业背景及差异性心理导致的专家多元化和主观性的决策行为,从而无法较好辅助企业为用户提供合理设计方案优选决策的问题,提出基于语言Z数和云聚类模型的设计方案优选决策方法。在优选决策流程中,首先构建考虑用户、企业和设计师的多维优选决策指标体系;其次,收集专家基于语言Z数的优选决策信息,利用云聚类模型对语言Z数优选决策信息聚类,从而完成为用户提供优选决策方案结果;最后,基于该模型对5个汽车设计方案进行优选决策,并对比验证了基于语言Z数和云聚类模型的优选决策方法的有效性和可靠性,从而辅助企业为用户提供更为合理的设计方案优选决策服务。
In the process of enterprise design scheme optimization decision-making,the decision-making behavior of experts’diversification and subjectivity caused by different professional backgrounds and different psychology is not fully considered,then it can not help the enterprise to provide the reasonable design scheme optimization decision-making for the user,and constructs the design scheme optimization decision-making method based on language Z-number and cloud clustering model.In the process of optimal decision making,firstly,the index system of multi-dimensional optimal decision making considering users,enterprises and designers is constructed,and secondly,the information of optimal decision making based on language Z-number is collected,the cloud clustering model is used to cluster the linguistic Z-number optimal decision information,so as to provide users with the results of the optimal decision scheme,the validity and reliability of the method based on language Z-number and cloud clustering model are verified,so as to assist enterprises to provide more reasonable design scheme optimization decision-making services for users.
作者
张姝娴
ZHANG Shuxian(School of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,Shanxi,China)
出处
《中国工程机械学报》
北大核心
2025年第5期885-890,共6页
Chinese Journal of Construction Machinery
关键词
方案优选
多属性决策
语言Z数
云聚类模型
工业设计
scheme optimization
multi-attribute decision making
Z-number
the cloud model
industrial design
