An uncertain pure linguistic approach on evaluation of enterprise credit based on grey information

Abstract

Contemporarily, for the evaluation of enterprise credit, many specific value of indexes are difficult to be obtained, so decision makers tend to give a form of uncertain linguistic. For multiple attribute group decision making under the condition of uncertain linguistic, firstly, initial uncertain linguistic variables given by experts are transferred into interval grey numbers, and their greyness of degree is computed. Secondly, the greyness of degree is applied to adjust the weights of experts. Thirdly, the core of each interval grey number is calculated, and through giving the positive ideal point and negative ideal point which are binary numbers, the comprehensive grey relational grade between the linguistic number and two points is calculated respectively, to get the ranking result of projects by considering both core and greyness of degree. Lastly, a case on enterprise credit is illustrated and compared to validate the practicability, rationality and effectiveness of the proposed method.