GREY RELATIONAL ANALYSIS METHOD FOR INTUITIONISTIC FUZZY MULTIPLE ATTRIBUTE DECISION MAKING

Abstract

Grey system theory is one of the methods used to study uncertainty. GRA is part of grey system theory, which is suitable for solving problems with complicated interrelationships between multiple factors and variables. This method has been widely used to solve the uncertainty problems under the discrete data and incomplete information. It is one of the best methods to make decisions under business environment. In the process of intuitionistic fuzzy multiple attribute decision making (MADM) problems, the information about attribute weights and the attribute values is incompletely known because of time pressure, lack of knowledge or data, and the expert’s limited expertise about the problem domain. The aim of this paper is to develop a new method, based on the traditional GRA method, to overcome this limitation. In this sense, you use a different distance between two intuitionistic fuzzy numbers. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords

• Multiple attribute decision making
• Fuzzy numbers
• Decision making
• interval valued intuitionistic fuzzy numbers.