A novel approach of complex q-rung orthopair fuzzy hamacher aggregation operators and their application for cleaner production assessment in gold mines

Assessment cleaner production (CP) is an important and successful tool to resolve the contradiction between economic growth and environmental pollution. To avoid destroying the ecological environment in the utilization process of mineral resources, CP has been developed in many gold mines to achieve the goal of sustainable development. Further, the hamacher aggregation (HA) operator is a classical kind of aggregation operator used in fusion theory. The prominent characteristic of the HA operator is that it can capture the interrelationship among the multi-input arguments. In this paper, the complex q-rung orthopair fuzzy sets (Cq-ROFSs) and their fundamental properties are developed. The HA operators based on Cq-ROFSs are pioneered and also study their existing methods. Moreover, we resolve the case of assessing CP in gold mines using multi-attribute group decision making (MAGDM) problem to examine the reliability and effectiveness of the proposed approach. Further, the comparative analysis, advantages and sensitive analysis of the proposed methods, using the cleaner production assessment in gold mines are also discussed.