Abstract:

This article proposes an approach to multi-attribute decision making based on information entropy and correlation coeffcient with unknown attribute weight information where individual assessments are provided as interval-valued intuitionistic fuzzy numbers. First of all, a type of technique for constructing interval-valued intuitionistic fuzzy entropy is proposed, and a method is  developed based on this entropy values of interval-valued intuitionistic fuzzy numbers to ensure unknown attribute weights. Next, a formula of interval-valued intuitionistic fuzzy numbers correlation coefficient with attribute weights is defined. Then, the decision making steps with unknown attribute weight information is introduced, where individual assessments are provided as interval-valued intuitionistic fuzzy numbers based on the above principle. Finally, the method is used as an example to verify its simplicity and effectiveness.