Quality function deployment (QFD) is a team-based product development technique for determining critical engineering characteristics based on customer requirements to realize higher customer satisfaction. Given its simplicity and visibility, the QFD has been broadly utilized in a variety of industries for product or service planning. However, traditional QFD method assumes that the behavior of domain experts is completely rational, and is only suitable for product development problems with a small number of experts. In this paper, we aim to develop a new large group QFD approach based on an extended TODIM (Portuguese acronym for interactive multi-criteria decision making) method under interval type-2 fuzzy context. The interval type-2 fuzzy sets are utilized to describe the imprecise and uncertain correlation assessment information between customer requirements and engineering characteristics. The normal TODIM is modified and used to derive the priority of engineering characteristics considering the psychological factors of experts. Also, an entropy weighting method was adopted to derive the weights of customer requirements objectively. Finally, we provide an electric vehicle product development case and perform a comparison analysis with previous methods to reveal the effectiveness and practicability of the proposed large group QFD approach.

质量功能部署（QFD）是一种基于团队的产品开发技术，用于根据客户要求确定关键工程特性，以实现更高的客户满意度。鉴于其简单性和可见性，QFD 已被广泛用于各种行业的产品或服务规划。但是，传统的 QFD 方法假设领域专家的行为是完全理性的，仅适用于专家人数较少的产品开发问题。在本文中，我们的目标是在区间类型 2 模糊上下文下基于扩展的 TODIM（交互式多标准决策的葡萄牙语首字母缩写词）方法开发一种新的大群 QFD 方法。区间类型2模糊集用于描述客户需求与工程特性之间不精确和不确定的相关评估信息。考虑专家的心理因素，修改正常的TODIM，用于推导出工程特性的优先级。同时，采用熵权加权的方法，客观地推导出客户需求的权重。最后，我们提供了一个电动汽车产品开发案例，并与以前的方法进行了比较分析，以揭示所提出的大群体 QFD 方法的有效性和实用性。采用熵权法，客观地推导出客户需求的权重。最后，我们提供了一个电动汽车产品开发案例，并与以前的方法进行了比较分析，以揭示所提出的大群体 QFD 方法的有效性和实用性。采用熵权法，客观地推导出客户需求的权重。最后，我们提供了一个电动汽车产品开发案例，并与以前的方法进行了比较分析，以揭示所提出的大群体 QFD 方法的有效性和实用性。