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基于模糊回归的质量屋决策模型

DECISION MODEL FOR QUALITY HOUSE BASED ON FUZZY REGRESSION

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【作者】 陈以增唐加福任朝辉任立义

【Author】 CHEN Yi-zeng 1,TANG Jia-fu 2,REN Zhao-hui 1, REN Li-yi 1 (1. School of Mechanical Engineering and Automation; 2. School of Information Science & Engineering,=Northeastern University, Shenyang 110004,China)

【机构】 东北大学机械工程与自动化学院东北大学信息科学与工程学院东北大学机械工程与自动化学院 沈阳110004

【摘要】 基于带有对称三角形模糊系数的模糊回归及模糊规划理论 ,提出关联函数及自相关函数的数学模型 ,并在系统考虑资源约束影响的基础上 ,分别建立了基于质量屋的产品规划精确模型及模糊模型 .仿真研究表明 ,这些模型适合于各种工程设计问题 ,尤其是在不确定的、模糊的条件下 ,能够有效地确定关联函数及自相关函数 ,帮助开发人员优化顾客需求的满意水平 ,在资源约束下使产品的顾客满意度最大

【Abstract】 Quality function deployment (QFD) is becoming a widely used customer-oriented approach to product design. The inherent fuzziness in QFD system makes fuzzy regression more appealing than classical statistical tools. This paper presents a mathematic approach to determine the relation functions between customer requirements and engineering characteristics and correlation functions among engineering characteristics using optimization theory combined with fuzzy regression theory, and furthermore proposes a crisp and a fuzzy decision models for HOQ. The proposed models would be applicable to a wide spectrum of design problems where multiple design criteria and functional design relationships are interacting and/or conflicting in an uncertain and fuzzy product design process and allow a design team to reconcile tradeoffs among the various customer satisfaction levels as well as the inherent fuzziness in the system.

【基金】 国家自然科学基金资助项目 ( 70 0 0 2 0 0 9);西安交通大学机械系统工程国家重点实验室资助项目
  • 【文献出处】 信息与控制 ,Information and Control , 编辑部邮箱 ,2003年02期
  • 【分类号】TP15
  • 【被引频次】8
  • 【下载频次】309
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