The integration information entropy method for the hybrid multi-attribute decision-making

This paper discusses a hybrid multi-attribute decision making problems (HMADMP) in which attribute weights are unknown and attribute values are given in the forms of real number, interval number, fuzzy number and semantics. Through the process of the attribute values transformation and clarity, proposed the method with the integration information entropy to calculate the comprehensive weights, and established a hybrid multi-attribute decision model based on comprehensive information entropy. Finally, Application examples demonstrate its feasibility and effectiveness.