Study on the comprehensive evaluation of financial sustainable development with linguistic information

Abstract

In this paper, we investigate the dynamic multiple attribute decision making (DMADM) problems for evaluating financial sustainable development with linguistic information. We utilize the dynamic linguistic weighted averaging (DLWA) operator and linguistic weighted averaging (LWA) operator to aggregate the linguistic information corresponding to each alternative and get the overall value of financial sustainable development, then rank the cities with linguistic information and select the most desirable one(s) by using the overall value of financial sustainable development. Finally, an illustrative example for evaluating financial sustainable development is given to verify the developed approach and to demonstrate its practicality and effectiveness.