Using rough sets for optimal cost evaluation in supply chain management

Over the last decade we have seen rapid advancement in the field of rough set theory. It has been successfully been applied to many varied fields such as data mining and network intrusion detection with little or no modifications. The concept of rough set is increasingly becoming popular which can be easily seen from the increasing number of research articles devoted to it. In the past several studies have targeted on finding the qualitative causal relationships that exist between various businesses and their associated attributes. This has resulted in the need for a quantitative approach for the evaluation of cost for supply chain management. However since the process for supply chain management itself depends on multiple complicated features regarding which the standard statistical techniques are not deemed suitable. Therefore in this paper we have analyzed and demonstrated a method for optimal cost evaluation using the rough set theory.