@inproceedings{oai:grips.repo.nii.ac.jp:00001405,
 author = {YU, Ming-Miin and HSIAO, Bo and CHEN, Li-Hsueh},
 month = {Dec},
 note = {The workshop is supported by JSPS (Japan Society for the Promotion of Science), Grant-in-Aid for Scientific Research (B), #25282090, titled “Studies in Theory and Applications of DEA for Forecasting Purpose., 本研究はJSPS科研費 基盤研究(B) 25282090の助成を受けたものです。, Since efficiency prediction can help managers to monitor future performance and detect potential failures, it is important for production and operation management. Data envelopment analysis is comprehensively applied to evaluate the relative performance in various areas. However, only few studies try to forecast the relative performance estimated by data envelopment analysis. We propose a performance forecasting model that integrates the multi-activity dynamic network data envelopment analysis and fuzzy piecewise auto-regression. The proposed approach constructs a dynamic performance measurement with the network structure to calculate the catching-up efficiency index. The catching-up efficiency index is further decomposed into the technical efficiency change and dynamic efficiency change to capture the effect of carry-over items. The fuzzy piecewise auto-regression is applied to regress the possibility and necessity estimation models by catching-up efficiency index for forecasting efficiency. In this paper, a data from banks in Taiwan from 2006 to 2012 are applied. The results indicate that the proposed approach has highly accuracy rate., Workshop 2015 -Advances in DEA Theory and Applications (December 1-2, 2015)},
 pages = {107--118},
 publisher = {出版社不明},
 title = {Efficiency Predictions by Fuzzy Piecewise Auto-regression in Dynamic Network System},
 year = {2015}
}