An Integrated Interval Type-2 Fuzzy PROMETHEE-II Decision Model for the Selection of Medical Waste Treatment Techniques

Abstract

The selection of medical waste treatment techniques has become a serious health and safety issue since the amount and variety of medical waste are rapidly increasing during the Corona Virus Disease 2019 (COVID-19) pandemic in the whole world. This paper aims to propose an integrated interval type-2 fuzzy Preference Ranking Organization Method for Enrichment Evaluations-II (PROMETHEE-II) decision model for medical waste treatment techniques selection problem considering interactive relationships among criteria under a high uncertain environment. First, interval type-2 fuzzy sets (IT2FSs) are introduced to express imprecision information within the context of high uncertainty. Second, a type-2 Prioritized Aggregation (PA) operator is constructed to aggregate the evaluation information considering the priority of experts. Third, the Decision Making Trial and Evaluation Laboratory (DEMATEL) method is combined with the IT2FS to calculate the weights of criteria considering the interaction relationships among them. Then, an extended interval type-2 fuzzy PROMETHEE-II method is proposed to rank each alternative, in which a distance measure-based preference function is adopted. After that, a case study of medical waste treatment selection in Jiangsu province is used to illustrate the effectiveness of the proposed approach. The results demonstrate that incineration is the most appropriate approach in handling medical waste. Finally, sensitivity analysis and comparative analysis are implemented to further test the advantages of the proposed approach.