توضیحات
ABSTRACT
To improve the ability and efficiency of the hospital management, it is needed for us to handle the decision making problems so as to assist the hospital decision support systems. Considering the complexity and urgency of the hospital management affairs, this paper proposes a projection model with hesitant fuzzy linguistic term sets to solve the decision making problems under consideration. The proposed model not only can describe the uncertainties of the problems and the hesitancy of the decision makers, but also can decrease subjective and increase objectives of the decision making results. Then, the error analysis method is provided to obtain the weights of the criteria with hesitant fuzzy linguistic information. Furthermore, we make comparisons between the proposed model and other decision making methods, and present its advantages and drawbacks. Finally, a case study on hospital decision support systems is made to illustrate .the validity and applicability of the proposed model
INTRODUCTION
With the rapid development of information technology, the competition becomes rigorous in medical service market, which prompts the hospitals to improve their working efficiency and quality. Hospital information system (HIS) , which obtains the medical management policies and measurements by data analysis, was introduced to support the hospital management by inputting/outputting the medical
activities data on a mobile terminal. By providing some successful examples and the experiences of computer applications, Kuperman et al. presented the guidance on how to design a HIS with few mistakes. Afterwards, from the aspects of hospital stays and hospitalization cost, Evans et al. used the HIS to assess the effects of adverse drug affairs.
Year: ۲۰۱۸
Publisher : ELSEVIER
By : Hangyao Wu, Zeshui Xu, Peijia Ren, Huchang Liao
File Information: English Language/ 45 Page / size: 1.38 MB
سال : ۱۳۹۶
ناشر : ELSEVIER
کاری از : Hangyao و، Zeshui Xu، Peijia Ren، Huchang Liao
اطلاعات فایل : زبان انگلیسی / 45 صفحه / حجم : MB 1.38
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