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Decision making with imprecise probabilities has some problems, however.
Decision making with imprecise probabilities is discussed by Seidenfeld (2004), Troffaes (2007), Seidenfeld, Schervish, and Kadane (2010), Bradley (2013), Williams (2014), Huntley, Hable, and Troffaes (2014).
Fuzzy analytical hierarchy process (FAHP) is widely used in risk decision making process to solve imprecise hierarchical problems where the risk data are incomplete or there is a high level of uncertainty involved in the risk data, particularly, in the process of railway safety and risk decision making.
Fuzzy logic is based on imprecise human reasoning and exploits the tolerance for imprecision to solve complex problems and support decision making on complex systems [17, 18, 19, 20].
This problem may result in imprecise and indefinite data being present, which makes the decision making process complex and challenging.
The capacitated multi-facility location problem is a complex and imprecise decision-making problem which contains both quantitative and qualitative factors.
What is true is that there are cases where imprecise probabilities can represent the distinction in a way that impacts on decision making.
Decision making.
Decision making skills.
Chandler (forthcoming) and Sahlin and Weirich (2014) both point out that a certain kind of imprecise decision rule does make refusing both bets impermissible and Elga has acknowledged this in an erratum to his paper.
The decision made sense.
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