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Reuse of wastewater is considered a major source of water retention and improvement in drought prone areas. The water recovered from renewable water resource project is used for many utilities. Here, every application is considered to be an alternative. When assessing, it is necessary to evaluate and assume that all users are safe and helpful. In this way, every alternative assessment is evaluated based on the social acceptance, environmental protection, economy, technology and operation and health risk. Then the best alternative is chosen. When recycled water is recovered and we reuse in water management plants, it can lead to multi-criteria decision making processes related to uncertain critical assessments. In general hesitant fuzzy set is represented by a number of possible values for each of element in a set. Hesitant set is used as a powerful tool to express uncertainty and hesitant information in the decision processor. The aim of this research article is to propose a new methodology of MCDM in hesitant fuzzy (HF) namely, HF-CRITIC (Hesitant Fuzzy Criteria Importance Through Inter-criteria Correlation) and HF-MAUT (Hesitant Fuzzy Multi Attribute Utility Theory) to get hesitant fuzzy information in order to select the best alternative for using reclaimed water use in India. Here, five reclaimed water plants have been identified as alternatives. These alternatives are evaluated with five criteria namely social, economic, environmental, technical/operation and health risk. After evaluation, the result shows that ground water recharge is the best alternative for reclaimed water use.