Healthcare services provided by hospitals and clinics inevitably produce waste that may hazardous to the environment and society. However, there is a lack of an effective and comprehensive evaluation framework that takes uncertainty and fuzziness into account to assess healthcare waste treatment technologies in the emerging economies. The objective of this paper is to present a new integrated multi-criteria decision-making method based on interval-valued fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) and interval-valued fuzzy TOPSIS for evaluating healthcare waste treatment technologies in the emerging economies from a sustainability perspective. In this study, the decision makers are allowed to determine the weights of the evaluation criteria and prioritize the alternatives using linguistic variables. The weights of the evaluation criteria are determined by the interval-valued fuzzy DEMATEL method, and the prioritization of the alternatives is determined by the interval-valued fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method. Four alternatives for healthcare waste treatment technologies including incineration, steam sterilization, microwave and landfill are studied, and the results show that our established method is effective to help the decision-makers to determine the prioritization of the alternatives for healthcare waste treatment technologies.

医院和诊所提供的医疗保健服务不可避免地会产生可能危害环境和社会的废物。但是，缺乏有效而全面的评估框架，该框架将不确定性和模糊性考虑在内，以评估新兴经济体中的医疗废物处理技术。本文的目的是提出一种基于区间值模糊DEMATEL（决策试验与评估实验室）和区间值模糊TOPSIS的综合多准则决策方法，用于评估新兴经济体中的医疗废物处理技术从可持续发展的角度来看。在这项研究中，决策者可以确定评估标准的权重，并使用语言变量对替代方案进行优先排序。评估标准的权重由区间值模糊DEMATEL方法确定，备选方案的优先级由区间值模糊TOPSIS（基于与理想解决方案的相似性优先订单技术）方法确定。研究了医疗废物处理技术的四种替代方案，包括焚烧，蒸汽灭菌，微波和垃圾填埋，结果表明，我们建立的方法可有效帮助决策者确定医疗废物处理技术替代方案的优先级。