Abstract: To fully and reasonably consider competitive information of Technical Characteristics(TCs)in House Of Quality(HOQ), and properly determine the final priority of TCs, an integrated methodology for determining the final priority of TCs based on uncertain linguistic information was proposed. The unbalanced uncertain linguistic variables was used to represent technology competitive evaluation given by experts, and a optimization model for determining technology competitive priority of TCs was built, and this model was solved by utilizing Lagrange function. Based on uncertain linguistic information decision theory, the Improvement Goal of Competitive Performances(IGCP)to realize TC was analyzed in qualitative and quantitative way. Analytic Hierarchy Process(AHP)was used to synthetize the Basic Priority Ratings(BPR)of TCs, the Normalized Technology Competitive Priority(NTCP)of TCs and the priority ratings of achieving the IGCP, and therefore the Normalized Priority Ratings(NPR)of TCs was determined. A new car headlight development was taken as an example to show the feasibility and effectiveness of proposed method.

Key words: quality function deployment, uncertain linguistic variables, unbalanced linguistic label sets, technical characteristics, priority, product development

摘要： 为充分而合理地考虑质量屋中的技术竞争性评估信息，进而恰当地确定技术特性的最终优先度，提出一种基于不确定语言信息的技术特性最终优先度确定方法。用非平衡不确定语言信息来表征专家给出的技术竞争性评价信息，并建立了基于竞争性评价的技术竞争优先度确定的优化模型，通过构造拉格朗日函数求解该模型；基于不确定语言信息决策理论，对实现技术特性竞争表现的改进目标进行定性和定量分析，并确定实现技术特性竞争表现改进目标的优先度；采用层次分析法对技术特性的基本优先度、规范化的技术竞争优先度和实现技术特性竞争表现改进目标的优先度进行合成，确定了技术特性的最终优先度。通过某新车型的大灯开发实例验证了所提方法的可行性和有效性。

关键词: 质量功能展开, 不确定语言变量, 非平衡语言标度, 技术特性, 优先度, 产品开发