The currently going on demand for digitalization public supply chains in cooperative sectors motivates to go for metrics which raise the fairness and at the same time the standards of the Government either regional or federal synchronizing with their policies and legislation towards economic growth and citizen welfare. The involved decision makers cannot be rigid/discrete in measuring the parameters in such systems and hence fuzzy logic is identified suitable for them. Though there are many research works in the literature, still their focus is on particularly on systems managing safety, risk and profit outputs. The lack of availability of this approach in cooperative sectors for public food distribution makes the authors to propose a fuzzy inference system accommodating fuzzy rules mapping to Farmers yield , Government approval rate and customer Demand