Abstract
In this paper, a new approach for
obtaining Ranking efficiency with the fuzzy data numbers are being considered.
Most Fuzzy DEA models are introduced in the literatary words which are parametric models structured on
alpha cuts. yet , the model is introduced in this study is parametric and is
used trapezoidal fuzzy number. From the theotrical perspective, the objective
of this study is to develop a simple and effective Fuzzy DEA-BCC model. The
most and maximum possible efficiency scores of each DMU are estimated a few α-level,
this model can be applied to determine many issues are associated with
qualitative factors. It is checked by applying the proposed method in two numerical
examples are compared with the results of eight current models of fuzzy DEA.
References
- Citation1 :Banker, R.D., Thrall, R.M., Estimation of returns to scale using Data Envelopment Analysis, European Journal of Operational Research, 62, 74–84, 1992.
- Citation2:Budak H., Erpolat S., Interval data envelopment analysıs and an applıcatıon ın turkısh bankıng sector, European Scientific Journal May ,9(13),36-50,2013.
- Citation3:Hatami-Marbini A., Saati S., Tavana M., Data envelopment analysis with fuzzy parameters: An interactive approach, International Journal of Operations Research and Information Systems, 2(3), 39-53, 2011.
- Citation4:Ying-Ming W.,Richard G., Jian-Bo Y., Interval efficiency using data envelopment analysis, Fuzzy Sets and Systems, 153 , 347–370,2005.
- Citation5:Wang, C.H, Chuang, C.C, Tsai, C.C., A fuzzy DEA–Neural approach to measuring design service performance in PCM projects, Automation in Construction, 18,702–713,2009b.
Abstract
Bu yazıda, bulanık veri sayıları ile
Sıralamada etkinlik elde etmek için yeni bir yaklaşım ele
alınmaktadır.Literatürde sunulan bulanık KVB modellerinin çoğu, alfa kesimler
üzerinde yapılandırılmış parametrik modellerdir.Ancak bu çalışmada tanıtılan
model parametriktir ve trapezoid bulanık sayı kullanmaktadır. Teori
perspektifinden, bu çalışmanın amacı, basit ve etkili bir Bulanık KVB-BCC modeli
geliştirmektir. Her bir KVB'nun mümkün olan en fazla ve en fazla verim puanının
birkaç α seviyesinde olduğu tahmin edilmektedir, bu model, nitel faktörlerle
ilişkili birçok sorunu belirlemek için uygulanabilir.İki sayısal örnekte
önerilen yöntemi uygulayarak bulanık KVB'nın sekiz güncel modelinin sonuçları
ile karşılaştırılmıştır.
References
- Citation1 :Banker, R.D., Thrall, R.M., Estimation of returns to scale using Data Envelopment Analysis, European Journal of Operational Research, 62, 74–84, 1992.
- Citation2:Budak H., Erpolat S., Interval data envelopment analysıs and an applıcatıon ın turkısh bankıng sector, European Scientific Journal May ,9(13),36-50,2013.
- Citation3:Hatami-Marbini A., Saati S., Tavana M., Data envelopment analysis with fuzzy parameters: An interactive approach, International Journal of Operations Research and Information Systems, 2(3), 39-53, 2011.
- Citation4:Ying-Ming W.,Richard G., Jian-Bo Y., Interval efficiency using data envelopment analysis, Fuzzy Sets and Systems, 153 , 347–370,2005.
- Citation5:Wang, C.H, Chuang, C.C, Tsai, C.C., A fuzzy DEA–Neural approach to measuring design service performance in PCM projects, Automation in Construction, 18,702–713,2009b.
Details
| Subjects | Engineering |
|---|---|
| Journal Section | Mathematics |
| Authors | |
| Publication Date | June 21, 2017 |
| Submission Date | April 8, 2017 |
| Acceptance Date | June 6, 2017 |
| Published in Issue | Year 2017 Volume: 7 Issue: 1 |
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