Power Dombi Aggregation Operators for Complex Pythagorean Fuzzy Sets and Their Applications in Green Supply Chain Management

Green supply chain management concerns the incorporation of globally sustainable methods into supply chain management techniques. The major goal is to decrease the environmental impact of the entire supply chain to increase the social, ecological, and economic relationships with other countries for business. In this manuscript, we aim to compute the Dombi operational laws based on the complex Pythagorean fuzzy (CPF) information. Furthermore, we construct the Dombi aggregation operators under the consideration of the CPF information, such as the CPF power Dombi averaging (CPFPDA) operator, CPF power weighted Dombi averaging (CPFPWDA) operator, CPF power Dombi geometric (CPFPDG) operator, and CPF power weighted Dombi geometric (CPFPWDG) operator. Some flexible properties for the invented operators are also discussed. Additionally, we develop the multi-attribute decision-making (MADM) method to evaluate the problem of green supply chain management based on the invented operators for CPF information. Finally, we use some numerical examples to show the supremacy and validity of the developed techniques by comparing their ranking results with the obtaining ranking results of the existing techniques.