We present a general framework which provides a unified approach to attribute reduction in decision contexts across various generalizations of Formal Concept Analysis. The framework is demonstrated on an attribute reduction method which has been studied multiple times separately for each of the generalizations. Specifically, we use the framework to elevate the discernibility matrix based method to a more general setting.
