A Fuzzy Linguistic Method for Evaluating Doctors of Online Healthcare Consultation Platform Using BWM and Prospect Theory

摘要

With the development of online healthcare consultations, more and more doctors provide medical consultation services online. However, due to the poor healthcare knowledge and high consultation fees, selecting a proper doctor becomes a difficult problem for many users. Therefore, this paper investigates a fuzzy linguistic method for evaluating doctors of online healthcare consultation platform. Considering that different users have different preferences for attributes when selecting doctors, BWM is used to obtain importance of attributes. Then, gains and losses of users with linguistic terms are calculated using 2-tuple linguistic representation model with user's expectations as the reference points. Next, fuzzy prospect values of each available doctor are obtained based on prospect theory, which takes users' risk attitude into consideration. A fuzzy linguistic method based on BWM and prospect theory is proposed for evaluating doctors of online healthcare consultation platform. Finally, a case is given to demonstrate the effectiveness of the proposed method.