Research on supply chain risk assessment with intuitionistic fuzzy information

The paper suggests an intuitionistic fuzzy operator to assess supply chain risk. With the global economic integration trend, more and more enterprises adopt the modern management model of supply chain in order to have access to the advantage of responding quickly to the market demand. Through the implementation of supply chain management, their management efficiency has been significantly improved which led to brought good economic benefits. However, at the same time risk is becoming an unavoidable problem for the enterprises in supply chain, because of the uncertainty of the environment of the supply chain and the ever-increasing complexity of its own. The management of supply chain risk assessment has attracted increasing attention of theoretical and business research. The study investigates the supply chain risk assessment with intuitionistic fuzzy information, and then proposes a dependent intuitionistic fuzzy Hamacher weighted geometric (DIFHWG) operator. This operator is used to design an algorithm for supply chain risk assessment with intuitionistic fuzzy numbers. To demonstrate the effectiveness of this approach, several experiments are conducted to verify the developed method.