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- W2049665972 abstract "Discrete multi-criteria decision problems with numerous Pareto-efficient solution candidates place a significant cognitive burden on the decision maker. An interactive, aspiration-based search process that iteratively progresses toward the most preferred solution can alleviate this task. In this paper, we study three ways of representing such problems in a DSS, and compare them in a laboratory experiment using subjective and objective measures of the decision process as well as solution quality and problem understanding. In addition to an immediate user evaluation, we performed a re-evaluation several weeks later. Furthermore, we consider several levels of problem complexity and user characteristics. Results indicate that different problem representations have a considerable influence on search behavior, although long-term consistency appears to remain unaffected. We also found interesting discrepancies between subjective evaluations and objective measures. Conclusions from our experiments can help designers of DSS for large multi-criteria decision problems to fit problem representations to the goals of their system and the specific task at hand." @default.
- W2049665972 created "2016-06-24" @default.
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- W2049665972 date "2013-01-01" @default.
- W2049665972 modified "2023-09-26" @default.
- W2049665972 title "A comparison of representations for discrete multi-criteria decision problems" @default.
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- W2049665972 doi "https://doi.org/10.1016/j.dss.2012.10.023" @default.
- W2049665972 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4024960" @default.
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