期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 115, 期 -, 页码 368-380出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2017.11.028
关键词
Data envelopment analysis; Intuitionistic fuzzy SBM; Intuitionistic fuzzy super efficiency SBM; Ranking
资金
- Ministry of Human Resource Development Government of India
Data envelopment analysis (DEA) is a linear programming based technique, which determines the performance efficiencies of homogeneous decision making units (DMUs). Slack based measure (SBM) model finds the performance efficiency, and it deals with the input excesses and output shortfalls of DMUs. In conventional SBM, the data is crisp. But it fluctuates in the real world applications. Such data can take the form of fuzzy/intuitionistic fuzzy (IF) number. In this paper, we propose an IF slack based measure (IFSBM) model to determine the efficiency of DMUs and IF super efficiency SBM (IFSESBM) model to determine the efficiency of efficient DMUs for a in (0,1] and beta in [0,1). Also, we propose a ranking method for intuitionistic fuzzy interval numbers (IFINs) based on alpha and beta-cuts. Finally, a health sector application of the proposed model is presented with two IF inputs: (i) number of beds (ii) number of doctors and two IF outputs: (i) number of pathology operations (ii) number of minor surgeries.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据