Developing Decision Support System for Supplier Relationship Management: A Case Study of a Research Organization

This article studied the partnering relationship between supplier and employer, and then developed a decision support system for supplier relationship management. The mentioned system for a research organization determined two samples of relationship management variables such as supplier and employer, the level of supervision on supplier’s performance and the amount of allowed delay. The approach that used for extending the system was a fuzzy inference system which created the ability for exports to express appropriate laws in establishing the system with linguistic concepts. Definitions of some fuzzy inference systems were inevitable by considering the discrete type of some affective characteristics. However, at the end, all the established systems formed in a united inference fuzzy system in order to consider better application through utilizing fuzzy values with low dispersal.