The Use of Convex Least Square Regression to Represent a Fuzzy DEA Model
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | 2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 116-120 |
| ISBN (Electronic) | 9781509063352, 978-1-5090-6334-5 |
| Publication status | Published - Jun 2017 |
Conference
| Title | 2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA) |
|---|---|
| Location | TBD |
| Place | Korea, Republic of |
| City | Seoul |
| Period | 13 - 15 June 2017 |
Link(s)
Abstract
Convex Nonparametric Least Squares (CNLSs) is a nonparametric regression technique to estimate monotonic increasing and convex functions. In addition, CNLS method builds on the same axioms as Data Envelopment Analysis (DEA) and also takes into account noise. This paper is to investigate the use of convex least square regression to represent a fuzzy DEA model. By the results of CNLS, we can repeatedly use the corresponding fuzzy DEA model to assess the performance of unobserved decision making units. Note that DEA results cannot be repeatedly used as the regression results for unobserved entities. The popularity of fuzzy DEA would be enhanced.
Research Area(s)
- Convex least square regression, Fuzzy DEA
Citation Format(s)
The Use of Convex Least Square Regression to Represent a Fuzzy DEA Model. / Chung, William.
2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA). Institute of Electrical and Electronics Engineers Inc., 2017. p. 116-120 7985612.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
