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The problem of selection of fuel for the production of castings in most economical way and in an eco-friendly environment is of great relevance in the present time. Traditionally, such problems were addressed using conventional techniques of Multi Criteria Decision Making, such as, Analytical Hierarchy Process (AHP). This paper proposes a methodology for solving common problem of fuel selection by modifying conventional AHP by incorporating ‘fuzzy Linguistic variables’ in place of numbers. The methodology will create a fuzzy interface for conversion of input and output variables into suitable linguistic variables. Further, employing the fuzzification process by assigning the linguistic variables to numerical values of the membership functions and formulating suitable decision rules, the procedure culminates into the defuzzification process for converting fuzzy output into crisp value and obtaining the result in the form of fuzzy scores. The model is explained using a numerical example and also presents a validation of the proposed methodology.