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- W2158955338 abstract "Prior to making a multiple attribute selection decision, a decision-maker may collect information to estimate the value of each attribute for each alternative. In this work, we consider a fixed experimental sample budget and address the problem of how best to allocate this budget across three attributes when the attribute value estimates have a normally distributed measurement error. We illustrate that the allocation choice impacts the decision-maker's ability to select the true best alternative. Through a simulation study we evaluate the performance of a common allocation approach of uniformly distributing the sample budget across the three attributes. We compare these results to the performance of several allocation rules that leverage the decision-maker's preferences. We found that incorporating the decision-maker's preferences into the allocation choice improves the probability of selecting the true best alternative." @default.
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- W2158955338 date "2014-12-07" @default.
- W2158955338 modified "2023-09-23" @default.
- W2158955338 title "Sample allocation for multiple attribute selection problems" @default.
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- W2158955338 doi "https://doi.org/10.5555/2693848.2693947" @default.
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