A linguistic entropy weight method and its application in linguistic multi-attribute group decision making

Abstract

Multi-attribute group decision making is generally applied in the language environment, and how to obtain the attribute weights has also been the focus of attention recently. This paper proposes a new method based on the theory of linguistic operator and the entropy weight method to determine the attribute weights in the linguistic multi-attribute group decision making: the linguistic entropy weight method. At the same time, the missing values are completed. The method used to complete missing values not only shows the average of the evaluation values, but also avoids the impact of the value fluctuations, so it has the validity and accuracy. Finally we demonstrate its applicability through the evaluation example of the scenic spot order.