Abstract- At a high complexity in resource allocation such as raw materials, processing requirement, distribution policy and control, and even the handling of waste, a responsive- agro - industrial supply chains are required for multi- product operation. Moreover, competitive business environment with short turnover period, minimum cost and lead time, is the part of current challenge in designing and improving a responsive supply chain of agro-industrial products which are also in risk for declining quality. This paper discussed how a responsive the supplier selection answer for above challenges in terms of exact and crisp solutions which are harder to achieve. The decision making in selecting suppliers and obtaining raw material, in the case of responding the demand for quickly, facing several options and is a critical decision is often based solely on the intuition of decision makers. An intuitionistic fuzzy hedge formulation and modeling were setup for obtaining rules to ensure and to allow supplier selection with the considerations of intuitionistic approach on relevant parameters. Modeling stage encompasses the determination of variables which influence the supplier selection, constructing membership and non membership function in which the rule of the model affecting formulation of intuitionistic fuzzy hedges in details, rule construction and comparing verification result with conventional association rule mining (ARM). Computational results showed unique features and performance evaluation that treat intuitionist input of price, capacity, lead time, transportation costs, distance and demand for raw materials while supplier selection processes approved as flexible and adaptive, with the selected supplier were S12, S5 and S8.