山东建筑大学学报
山東建築大學學報
산동건축대학학보
JOURNAL OF SHANDONG JIANZHU UNIVERSITY
2014年
6期
520-524,529
,共6页
徐楠%孟宪举%李国斌
徐楠%孟憲舉%李國斌
서남%맹헌거%리국빈
质量功能配置%顾客需求模板%动态分类树%二叉树%最近相邻策略
質量功能配置%顧客需求模闆%動態分類樹%二扠樹%最近相鄰策略
질량공능배치%고객수구모판%동태분류수%이차수%최근상린책략
quality function deployment%customer demand model%dynamic classified trees%binary tree%nearest neighbor strategy
顾客需求模板是质量功能配置(QFD)系统对设计实例和规则进行规范化的工具。文章基于质量功能配置中顾客需求动态获取的特点,分析了顾客需求模板实例提取和动态进化过程,规范了设计实例及设计规则的描述,提出了实现模板动态进化的动态分类树的概念,探讨了动态分类树的存储、规则调整方式以及实例归类方法。结果表明:基于数据结构的二叉树定义,将动态分类树的存储设计为三重链接方式,实例规则调整采用自下而上的方式检索规则并存储,实现系统存储的近似最小变量空间;基于最近相邻策略设计实例归类标准及其算法,通过指定归类标准值达到调整顾客需求模板中实例分类的目的,提高推理决策的准确性。
顧客需求模闆是質量功能配置(QFD)繫統對設計實例和規則進行規範化的工具。文章基于質量功能配置中顧客需求動態穫取的特點,分析瞭顧客需求模闆實例提取和動態進化過程,規範瞭設計實例及設計規則的描述,提齣瞭實現模闆動態進化的動態分類樹的概唸,探討瞭動態分類樹的存儲、規則調整方式以及實例歸類方法。結果錶明:基于數據結構的二扠樹定義,將動態分類樹的存儲設計為三重鏈接方式,實例規則調整採用自下而上的方式檢索規則併存儲,實現繫統存儲的近似最小變量空間;基于最近相鄰策略設計實例歸類標準及其算法,通過指定歸類標準值達到調整顧客需求模闆中實例分類的目的,提高推理決策的準確性。
고객수구모판시질량공능배치(QFD)계통대설계실례화규칙진행규범화적공구。문장기우질량공능배치중고객수구동태획취적특점,분석료고객수구모판실례제취화동태진화과정,규범료설계실례급설계규칙적묘술,제출료실현모판동태진화적동태분류수적개념,탐토료동태분류수적존저、규칙조정방식이급실례귀류방법。결과표명:기우수거결구적이차수정의,장동태분류수적존저설계위삼중련접방식,실례규칙조정채용자하이상적방식검색규칙병존저,실현계통존저적근사최소변량공간;기우최근상린책략설계실례귀류표준급기산법,통과지정귀류표준치체도조정고객수구모판중실례분류적목적,제고추리결책적준학성。
Customer demand model is a kind of tool to standardize design cases and rules of quality function deployment(QFD).Based on the characteristics of obtaining customer demands in quality function deployment,the case collection and dynamic evolution process were analyzed and design case rulers were specified.The concept of dynamic classified trees was proposed to realize dynamic evolution of models.The storage model,rule adjustment and cases classification methods of dynamic classified trees were discussed.The results show that the storage model of dynamic classified trees was designed to triply links based on binary tree of data structure.To retrieve and store case rules bottom-up approach of adjustment rules were applied and the approximate minimum variable space were achieved.The cases classification standards and algorithm were established according to nearest neighbor algorithm.By specifying the classification standards value to adjust the samples classification in customer demand model,the accuracy of inference and decision-making were improved.