Abstract
In modeling of an optimization problem, situations arise when the information about the objective functions and/or constraints are imprecise. One efficient approach to deal with such problems is considering the solution of such optimization problems in intuitionistic fuzzy environment. Here, we have considered the imprecise coefficients of objective functions and constraints as intuitionistic fuzzy numbers and are approximated by its expected interval value. Further, a goal programming approach is applied to solve such problems. The developed method has been illustrated by implementing on a multi objective programming problem of agricultural production management system.
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