Browse Dept. of Industrial and Enterprise Systems Engineering by Subject "Decision Analysis"

  • Sutcu, Muhammed (2014-12-22)
    The complexity of real world decision problems is exacerbated by the need to make decisions with only partial information. How to model and make decisions in situations where only partial preference information is available ...

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  • Traverso, Michael G. (2011-01-14)
    Bayesian predictive methods have a number of advantages over traditional statistical methods. For one, Bayesian methods allow one to aggregate information from multiple sources (theoretical models, experimental data, and ...

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  • Haggerty, Ryan P. (2011-05-25)
    The process of eliciting a representative probability distribution from a judge is fundamental to decision making under uncertainty. This work summarizes several aspects of eliciting continuous probability distributions. ...

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  • Williams, Aida (2012-05-22)
    Current research on consumer electronics mainly focuses on the energy expenditures of individual electronic devices or on data centers, while consideration of the larger consumer electronics system is overlooked. This ...

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  • Ritchey, Heather (2014-09-16)
    This thesis uses a decision analytic framework to assess how the United States Army makes trade-offs involving monetary resources and the potential loss of human life. Data for the study looks at the Army budget for a ...

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  • Al Kindi, Mahmood A. (2010-08-20)
    This research proposes a normative approach in two infrastructural manufacturing decisions: quality and product development. Quality, as employed in the research, is defined as satisfying customer needs given a market ...

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