基于模糊回归的质量屋决策模型  

DECISION MODEL FOR QUALITY HOUSE BASED ON FUZZY REGRESSION

作　　者：陈以增[1] 唐加福[2] 任朝辉[1] 任立义[1] 

机构地区：[1]东北大学机械工程与自动化学院 [2]东北大学信息科学与工程学院,沈阳110004

出　　处：《信息与控制》2003年第2期118-122,共5页Information and Control

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

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 。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.

关 键 词：模糊回归 质量屋 决策模型 工程设计 质量功能展开 模糊规划模型 数学模型 目标函数 关联函数 

分 类 号：TB21[一般工业技术—工程设计测绘]