@article{5f54ce2e709a43e1a8b9124d0f083ad2,
title = "Budget allocation for effective data collection in predicting an accurate DEA efficiency score",
abstract = "We analyze how to allocate the budget for data collection effectively when data envelopment analysis (DEA) is used for predicting the efficiency. We formulate this problem under a Bayesian framework and propose two heuristics algorithms, i.e., a gradient-based algorithm and a hybrid GA algorithm to solve this optimization problem. Our results indicate that effective allocation of budget for data collection can greatly reduce the overall data collection effort in comparison with a uniform budget allocation.",
keywords = "Budget allocation, genetic algorithm, gradient search, optimal computing budget allocation algorithms (OCBA), stochastic data envelopment analysis (DEA)",
author = "Wong, {Wai Peng} and Wikrom Jaruphongsa and Lee, {Loo Hay}",
note = "Funding Information: Manuscript received February 05, 2009; revised October 13, 2009, May 29, 2010, September 12, 2010, and September 15, 2010; accepted September 26, 2010. Date of publication October 21, 2010; date of current version June 08, 2011. This work was supported by the Universiti Sains Malaysia under Grant 304/PGMT/6310032. Recommended by Associate Editor C.-H. Chen. W. P. Wong is with the School of Management, Universiti Sains Malaysia, 11800 Penang, Malaysia (e-mail: wongwp@usm.my). W. Jaruphongsa is with Sasin Institute of Business Administration of Chula-longkorn University, Thailand (e-mail: wikromj@sasin.edu). L. H. Lee is with the Department of Industrial and Systems Engineering , National University of Singapore, Singapore (e-mail: iseleelh@nus.edu.sg). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TAC.2010.2088870",
year = "2011",
month = jun,
doi = "10.1109/TAC.2010.2088870",
language = "English",
volume = "56",
pages = "1235--1246",
journal = "IEEE Transactions on Automatic Control",
issn = "0018-9286",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
number = "6",
}