Grey Intuitionistic Fuzzy Decision Making Method Based on Grey Incidence Analysis and Case-Based Reasoning

In this paper we study a decision making problem based on grey incidence analysis and case-based reasoning for grey intuitionistic fuzzy information, in which the information about attribute weight is completely unknown. In order to get the weight vector of the attribute, we establish an optimization model based on score function, grey incidence theory and the case-based reasoning method, by which the attribute weights can be determined. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.