Fuzzy DEA: a perceptual evaluation method

By P. Guo, Hideo Tanaka. Fuzzy Sets Syst., 2001

465 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/94bc8ef9191393531fbafb9c915ee3db2cd31718

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Adel Hatami-Marbini
2. Ali Emrouznejad
3. Yingming Wang
4. Jianbo Yang
5. Madjid Tavana
6. Hooshang Kheirollahi
7. Y. Gholami
8. Mohammad Bagher Khodabakhshi

Citations in the corpus

• Trends in Fuzzy Statistics (2016, background): “Guo and Tanaka (2001) propose a fuzzy DEA (data envelopment analysis) model to deal with the efficiency evaluation problem with the given fuzzy input and output data.”
• A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making (2011, methodology): “Because of using predefined a 2 [0,1] Guo and Tanaka (2001)’s method can also be classified within a-level approaches.”
• An additive model approach for estimating returns to scale in imprecise data envelopment analysis (2010, background): “[20]) this is not always possible.”
• Interval efficiency assessment using data envelopment analysis (2005, methodology): “Guo and Tanaka [7] proposed a fuzzy CCR model in which fuzzy constraints including fuzzy equalities and fuzzy inequalities were all converted into crisp constraints by predefining a possibility level and using the comparison rule for fuzzy numbers.”