A Selection of Renewable Energy Using Three-Phase Hybrid Fuzzy Model to Attain Sustainable Development Goals

“The Sustainable Development Goals (SDGs)” came into existence with the aim to mitigate the various socio-economic and environmental issues. The sustainable use of the energy resources is one of the goals of the 17 SDGs. The world is facing energy crisis due to the limited access of non-renewable sources of energy. The Renewable Energy Source (RES) can help us in overcoming the problems of energy needs. The Goal 7, i.e. “Affordable and Clean Energy” includes the target of proper utilization, use of advanced techniques and to increase the share of RES. The selection of the type of RES is a major concern especially in developing countries. To solve this problem, many techniques are used like “Multi-Criteria Decision-Making (MCDM)”. “The Hesitant Fuzzy Linguistic Term Set (HFLTS)” is used to remove vagueness and uncertainty in the results obtained by the various MCDM techniques. A “Hybrid Fuzzy Python MCDM model” is developed here for the selection of best RES in India. The “HFL Analytical Hierarchy Process (AHP)” is used to weight the criteria and sub-criteria which are identified with the expertized suggestions and then rankings of the alternatives are obtained by the HFL TOPSIS. The calculation for the whole hybrid model done with the help of Python programing. To check the applicability of the described model, a practical application aided by expert assessments has been provided. This research study find novelty in a way that such model has been used for the first time. The hybrid fuzzy model can yield different results using other MCDM techniques and taking other criteria.