A possibility-based multi-criteria decision-making approach for artificial recharge structure selection using pentagonal fuzzy numbers

Groundwater recharge is crucial in developing groundwater sources in an area for regional growth. One of the essential natural water resources is groundwater, which differs geographically in quality and amount. Groundwater resources are under great strain due to growing urbanization and population growth. Numerous studies have identified groundwater recharge regions using a geographic information system and Multi-Criteria Decision-Making (MCDM). In this study, we have proposed an Multi-Criteria Decision-Making technique for selecting artificial recharge structures in basaltic terrain. The proposed Multi-Criteria Decision-Making technique is built with possibility theory under a pentagonal fuzzy environment. Additionally, we have developed a possibilistic middle of asymmetric linear pentagonal fuzzy (LPF) number. Through the Multi-Criteria Decision-Making technique, we have selected the best artificial recharge structures from the available ones. To show our Multi-Criteria Decision-Making methods feasibility, we have considered one numerical example under a pentagonal fuzzy environment.