JIMO
A combinatorial optimization approach to the selection of statistical units
Renato Bruni Gianpiero Bianchi Alessandra Reale
Journal of Industrial & Management Optimization 2016, 12(2): 515-527 doi: 10.3934/jimo.2016.12.515
In the case of some large statistical surveys, the set of units that will constitute the scope of the survey must be selected. We focus on the real case of a Census of Agriculture, where the units are farms. Surveying each unit has a cost and brings a different portion of the whole information. In this case, one wants to determine a subset of units producing the minimum total cost for being surveyed and representing at least a certain portion of the total information. Uncertainty aspects also occur, because the portion of information corresponding to each unit is not perfectly known before surveying it. The proposed approach is based on combinatorial optimization, and the arising decision problems are modeled as multidimensional binary knapsack problems. Experimental results show the effectiveness of the proposed approach.
keywords: Data mining knowledge management discrete optimization.

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