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- W2122759745 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." @default.
- W2122759745 created "2016-06-24" @default.
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- W2122759745 date "2010-01-01" @default.
- W2122759745 modified "2023-09-26" @default.
- W2122759745 title "A two-phased gradient technique for budget allocation: An application to data collection budget allocation in efficiency measurement of DEA" @default.
- W2122759745 cites W2005457274 @default.
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- W2122759745 doi "https://doi.org/10.1109/icectech.2010.5479979" @default.
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