Fuzzy efficiency measures in data envelopment analysis
By Chiang Kao, Shiang-Tai Liu. Fuzzy Sets Syst., 2000
512 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/518d760d5a8350d19a30af8d366a6fe9297f6f20
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Gholam Reza Jahanshahloo
- Adel Hatami-Marbini
- Ali Emrouznejad
- Madjid Tavana
- Shiang-Tai Liu
- Chiang Kao
- Zhongliang Yue
- Kannan Govindan
In Management Science and Operations Research
- Gholam Reza Jahanshahloo
- Madjid Tavana
- Shiang-Tai Liu
- Ali Emrouznejad
- Adel Hatami-Marbini
- Chiang Kao
- Zhongliang Yue
- Kannan Govindan
Citations in the corpus
- A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making (2011, methodology): “Kao and Liu (2000a) followed up on the basic idea of transforming a fuzzy DEA model to a family of conventional crisp DEA models and developed a solution procedure to measure the efficiencies of the DMUs with fuzzy observations in the BCC model.”
- Predicting bank performance with financial forecasts: A case of Taiwan commercial banks (2004, methodology): “However, by applying the method of Kao and Liu (2000a) to calculate the minimum and maximum efficiencies, all input and output values in their corresponding ranges are considered.”
- Data Envelopment Analysis with Imprecise Data (2011, methodology): “There are also approaches for measuring the efficiency for fuzzy data such as Sengupta (1992), Triantis and Girod (1998), Kao and Liu (2000), Leon et al. (2003).”