An end-to-end categorizing strategy for green energy sources: Picture q-rung orthopair fuzzy EXPROM-II: MADA approach

Abstract

In today's world, people's need for sustainable energy is crucial. In India, people utilizing 73% of electricity from fossil fuels is the biggest hazard to the environment. In order to partly gratify the nation, policymakers have decided to invest in sustainability renewable energy sources rather than non-renewable resources for the production of energy. There five distinct kinds of green energy sources. The research key contribution is selecting the best renewable energy sources among the five different categories. Therefore, here we form a mathematical fuzzy model to identify the decision received from hesitating knowledge in the form of an Picture Q -rung orthopair fuzzy set (PQROFS) is engaged to handle the uncertain data in decision makers' thoughts. A gathering of relevant judgment Multi -Attribute Decision Analysis (MADA) is employed. Attributes play a prominent role in DM for ranking the alternatives. Here we have twelve attributes and five alternatives. An objective CRiteria Importance Through Intercriteria Correlation (CRITIC) method is employed for attributes priority determination and EXtension of the PROMethee-II (EXPROM-II) method an method is determining the alternative from the preference between each alternative and novel methodology. Ultimately, to validate the proposed results, compared the proposed results with other existing MCDA method results.