Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICECTECH.2010.5479979
Title: A two-phased gradient technique for budget allocation: An application to data collection budget allocation in efficiency measurement of DEA
Authors: Wong, W.P.
Lee, L.H. 
Jaruphongsa, W.
Keywords: Budget allocation
Component
Data collection
DEA
Gradient
Issue Date: 2010
Source: Wong, W.P.,Lee, L.H.,Jaruphongsa, W. (2010). A two-phased gradient technique for budget allocation: An application to data collection budget allocation in efficiency measurement of DEA. ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology : 93-96. ScholarBank@NUS Repository. https://doi.org/10.1109/ICECTECH.2010.5479979
Abstract: This paper presents a gradient based algorithm to solve the data collection budget allocation problem in efficiency measurement of DEA. A hard limit is put on how many total readings can be collected and we aim to determine how these should be allocated among the different attributes. A two-phased gradient technique is developed to solve this problem. The numerical results showed that the proposed gradient based algorithm performs well in solving the problem. The insight from the results reveal that, it is important to allocate the budget intelligently and the proposed algorithm serves as a potential method in this area. ©2010 IEEE.
Source Title: ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/72272
ISBN: 9781424474059
DOI: 10.1109/ICECTECH.2010.5479979
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