2014
DOI: 10.1002/bdm.1847
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An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments

Abstract: In this paper, we present a new approach for the optimal experimental design problem of generating diagnostic choice tasks, where the respondent's decision strategy can be unambiguously deduced from the observed choice. In this new approach, we applied a genetic algorithm that creates a one‐to‐one correspondence between a set of predefined decision strategies and the alternatives of the choice task; it also manipulates the characteristics of the choice tasks. In addition, this new approach takes into account t… Show more

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Cited by 7 publications
(1 citation statement)
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References 110 publications
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“…Decision strategies such as satisficing (SAT), lexicographical (LEX), and elimination by aspects (EBA) are methods that are usually used in such minimally restrictive DSSs (Pfeiffer et al., 2015) and cause a DSS to be adopted more readily than one that produces a single solution that is the result of more complicated models. In SAT, solutions are retained for every objective that meets a certain threshold until only a certain number of solutions are left.…”
Section: Selecting the Ideal Portfolio With The Dssmentioning
confidence: 99%
“…Decision strategies such as satisficing (SAT), lexicographical (LEX), and elimination by aspects (EBA) are methods that are usually used in such minimally restrictive DSSs (Pfeiffer et al., 2015) and cause a DSS to be adopted more readily than one that produces a single solution that is the result of more complicated models. In SAT, solutions are retained for every objective that meets a certain threshold until only a certain number of solutions are left.…”
Section: Selecting the Ideal Portfolio With The Dssmentioning
confidence: 99%