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Implications for representing uncertainty in IA models are discussed.
There now exists a wide variety of formal devices for representing uncertainty (Halpern 2003).
The approach considers two spatial scales for representing uncertainty: local and global.
Among these methods, the Dempster-Shafer theory is a powerful method for showing and representing uncertainty of our incomplete knowledge.
Cost comparisons were based on monthly best estimate cost for a four-person household including error bars for representing uncertainty.
Bayesian network (BN) is a widely used formalism for representing uncertainty in probabilistic systems and it has become a popular tool in reliability engineering.
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First, a detailed description of a method for finding and representing uncertainties is presented.
In the end, it was established that neither of the two existing models is well suited to representing uncertainties or finding robust strategies under deep uncertainty.
It provides a means of representing uncertainties and vagueness that characterize human perception, judgmental reasoning, and decision (Emami et al. 2000).
Fuzzy logic distinguishes different ways to represent uncertainty.
Fuzzy logic can be used both to represent uncertainty and imprecision [23].
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CEO of Professional Science Editing for Scientists @ prosciediting.com