Healthcare waste disposal location selection by a multi-criteria decision-making method with intuitionistic fuzzy sets

Healthcare industries create hazardous waste (HCW), which can become a danger to the health of society. HCW disposal management is one of the main challenges for urban organizations and healthcare systems. Meanwhile, the HCW disposal location is a wrapped flow due to the contention of different alternatives, criteria, and government principles related to the HCW disposal. In this regard, a new multicriteria decision-making (MCDM) approach is introduced under the intuitionistic fuzzy (IF) conditions to evaluate the importance degrees of criteria and decision-makers (DMs) by computing their weights and coping with uncertain situations. A new integrated weighting criteria method is provided based on aggregating the subjective and objective criterion weight. The subjective weight is gathered from an expert person and objective weight is computed from ordered weight averaging (OWA) method. Afterward, the DM weights are computed based on similarity measure approach. Also, a new ranking approach is introduced with an ideal and anti-ideal distance-based method. These methods are utilized under IF condition. Finally, a case study from the recent literature is applied to validate the proposed approach. This case determines that the proposed method has a high performance to take the appropriate decision