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Purpose -The purpose of this paper is to present a new method for solving parametric programming problems; a new scheme of constraints fuzzification. In the proposed approach, constraints are learned based on deductive learning. Design/methodology/approach -Adaptive neural-fuzzy inference system (ANFIS) is used for constraint learning by generating input and output membership functions and suitable fuzzy rules. Findings -The experimental results show the ability of the proposed approach todoi:10.1108/17563781011049197 fatcat:si3nvlr6fnacnguy2lyj552woq