摘要
针对产品质量屋中用户需求排序的问题,提出模糊需求软集合与隶属度云模型的耦合方法,从模糊性与随机性综合考虑用户需求排序的问题,利用需求模糊隶属度构建模糊需求软集合,消除质量屋在信息传递中的模糊性与不确定性问题,通过逆向隶属度云发生器将定量信息转化为定性概念,基于超熵算子评价法,确定需求重要度最终排序,以液压四足机器人为例,验证了方法的实用性与可行性.
Aiming at the problem of user demand sequence in product quality house,a coupling method between fuzzy demand soft set and membership degree cloud model is proposed in the paper.The problem of user demand sequence is considered from the perspective of ambiguity and randomness.The fuzzy set of fuzzy requirements is constructed by using the fuzzy membership degree of demand,which eliminates the ambiguity and uncertainty of the quality house in information transmission.The quantitative information is transformed into a qualitative concept by the inverse membership cloud generator,and the final order of the importance of the demand is determined based on the super-entropy operator evaluation method.Taking the hydraulic four-legged robot as an example,the practicability and feasibility of the method are verified.
作者
秦建军
路可欣
QIN Jianjun;LU Kexin(School of Mechanical-Electronic and Vehicle Engineering,Beijing Key Laboratory of Performance Guarantee onUrban Rail Transit Vehicles,Beijing University of Civil Engineering Architecture,Beijing 100044)
出处
《北京建筑大学学报》
2019年第2期38-44,共7页
Journal of Beijing University of Civil Engineering and Architecture
基金
国家自然科学基金项目(91748211)
北京市教委科研计划项目(KM201610016003)
关键词
模糊需求软集合
隶属度云模型
逆向隶属度云发生器
需求排序
液压四足机器人
fuzzy demand soft set
membership degree cloud model
reverse membership cloud generator
demand sequence
hydraulic four-legged robot
