文章基本信息

标题：Fuzzy Data envelopment Analysis with SBM using α-level Fuzzy Approach
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作者：Qaiser Farooq Dar ; Ahn Young Hyo ; Gulbadian Farooq Dar 等
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2019
卷号：15
期号：2
页码：481-501
DOI：10.18187/pjsor.v15i2.2051
出版社：College of Statistical and Actuarial Sciences
摘要：The applications of fuzzy analysis in data-oriented techniques are the challenging aspect in the field of applied operational research. The use of fuzzy set theoretic measure is explored here in the context of data envelopment analysis (DEA) where we are utilizing the fuzzy α-level approach in the three types of efficiency models. Namely, BCC models, SBM model and supper efficiency model in DEA. It was observed from the result that the fuzzy SBM model has good discrimination power over fuzzy BCC. On the other side, both the models fuzzy BCC and fuzzy SBM are not able to make the genuine ranking which is acceptable for all. So this weakness is overcome with the help of fuzzy super SBM model and all three models are applied to illustrate the types of decisions and solutions that are achievable when the data are vague and prior information is in imprecise. In this paper, we are considering that our inputs and outputs are not known with absolute precision in DEA and here, we using Fuzzy-DEA models based on an α-level fuzzy approach to assessing fuzzy data.
关键词：Fuzzy Set; Linear Parametrical Programming; Data Envelopment Analysis; Vague; Fuzzy Equalities; and Inequalities.
其他关键词：Fuzzy Set; Linear Parametrical Programming; Data Envelopment Analysis; Vague; Fuzzy Equalities; and Inequalities