6. Conclusions
To improve the hospital management efficiency, this paper has proposed a hesitant fuzzy linguistic fuzzy projection model to handle the decision-making problems in the HDSS, which considers the characteristics of the medical management, such as uncertainty, complexity, urgency, and so on. Since the decision-making problems in HDSS are various and the factors are polytropic, the paper has proposed the error analysis method to determine the priority vector of the factors. Later on, some discussions have been provided for the proposed model, including comparing it with other decision-making methods, assessing its advantages and drawbacks. Last but not least, the paper has applied the proposed model to select the optimal medicine purchase project. The obtained results have been approved by the hospital experts as the best prescription in drug procurement plans, which manifests that the proposed model has strong applicability and effectiveness to deal with the problems in HDSS. In general, the proposed method not only can process the decision-making problems with all original hesitant fuzzy linguistic information, but also can obtain the decision results straightforwardly and conveniently. In addition, according to the comparative analyses with other MCDM methods, we can easily find that if we only consider the distance of two vectors and ignore their direction, we will lose some important decision information. From this point of view, the proposed model gives a valid way to handle the decision matrix.
