United Nations Development Program presented the Human Development Index for ranking the countries with regard to three dimensions, namely being knowledgeable, a long and healthy life, and having a proper standard of living. In order to provide social, economic, and environmental improvement for the countries, 2030 Agenda for Sustainable Development was presented with seventeen sustainable goals. This study proposes a fuzzy multiple criteria group decision making procedure combining quality function deployment and data envelopment analysis (DEA). The developed approach enables to include the interactions among country evaluation criteria via forming a house of quality (HOQ). The lower and upper bounds on country evaluation criteria are determined by utilizing fuzzy weighted average (FWA) technique. A common-weight DEA-based modeling framework, which uses the weights of country attributes calculated by FWA with the data from HOQ, is employed for identifying country ratings with respect to related country attributes. The proposed approach is implemented for ranking Latin American countries in a way to incorporate imprecise data and inner dependence among evaluation criteria. According to the results, Peru ranks first, followed by Chile and Costa Rica. Moreover, rankings obtained from human development index and the proposed formulation are compared via Spearman’s rank correlation. While the obtained rankings of countries according to the proposed approach are positively correlated with those of human development index, the variations in rankings may be due to considering a wider coverage of sustainable development goals as well as interactions among them by the proposed methodology.

联合国开发计划署提出了人类发展指数，从三个维度对各国进行排名，即知识渊博、健康长寿和适当的生活水平。为了改善各国的社会、经济和环境，《2030 年可持续发展议程》提出了 17 个可持续目标。本研究提出了一种结合质量功能部署和数据包络分析 (DEA) 的模糊多准则群决策程序。所开发的方法能够通过形成质量屋 (HOQ) 来包括国家评估标准之间的相互作用。国家评价标准的上下限是利用模糊加权平均（FWA）技术确定的。基于通用权重 DEA 的建模框架，它使用 FWA 和来自 HOQ 的数据计算的国家属性的权重，用于识别相关国家属性的国家评级。提议的方法用于对拉丁美洲国家进行排名，以在评估标准中纳入不精确的数据和内部依赖性。根据结果​​，秘鲁排名第一，其次是智利和哥斯达黎加。此外，通过斯皮尔曼的等级相关性比较了从人类发展指数获得的排名和所提出的公式。虽然根据提议的方法获得的国家排名与人类发展指数的排名呈正相关，但排名的差异可能是由于考虑了更广泛的可持续发展目标覆盖范围以及提议的方法在它们之间的相互作用。