一种西服工序质量预测的上下文感知建模与推理方法  

A context-awareness modeling and reasoning for procedure quality forecasting of suit manufacturing

作　　者：石美红[1] 赵雪青[1] 朱欣娟[1] 高全力 王倩[1] 

机构地区：[1]西安工程大学计算机科学学院,陕西西安710048

出　　处：《纺织高校基础科学学报》2017年第4期475-483,共9页Basic Sciences Journal of Textile Universities

基　　金：国家科技支撑计划资助项目(2014BAF07B01);陕西省自然科学研究计划-青年项目(2017JQ6071);陕西省教育厅科学研究计划项目(16JK1328)

摘　　要：为提高西服质量的稳定性,提出一种西服工序质量预测的上下文感知建模与推理方法.针对以手工制作为主的西服生产加工的特点,分析影响操作人员作业的因素,综合显性和隐性的制约因子,构建上下文感知模型;通过归纳分类和有效整合西服加工质量标准,建立用于工序质量预测的本体知识库.在此基础上,应用粗糙集理论,通过事例推理和演绎推理,实现基于上下文感知的两级推理的工序质量预测方法.应用示例验证了该方法的可行性.To improve the stability of suit quality,a method of context-awareness modeling and reasoning for procedure quality forecasting of suit manufacturing is presented.According to the characteristics of manufacturing processes for hand-made suit,comprehensive factors affecting personnel operation are analyzed and a context-awareness model is built.Then an ontology knowledge database for procedure quality forecast is constructed based on the classification and integration of suit processing quality standards.On this basis,the procedure quality forecasting for two level reasoning based on context-awareness is achieved by rough set theory.An applica-tion example is presented to prove the feasibility of the method.

关 键 词：上下文感知 工序质量 本体知识库 粗糙集 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]