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The adjustable (decision) variables were binary variables that designated whether a path between two nodes is valid or not.
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To address decision making problems based on fuzzy soft sets, Feng et al. introduced the concept of level soft sets of fuzzy soft sets and initiated an adjustable decision-making scheme using fuzzy soft sets [6].
However, if that mortgage is fixed-rate while the lower rate mortgage is adjustable rate, the decision must consider the possibility that the rate on the adjustable will increase in the future.
By implementing an adjustable threshold comparator, a precise decision threshold could be established corresponding to pathological levels of the target biomarkers.
The length scale of this filter is calculated by fitting it with an exponential function exp (− x / L ) with an adjustable length scale L. The decision variable was modeled as an accumulating value with initial value set at −100 to represent the log-likelihood that food is elsewhere.
Anyone buying a house quickly faces a fundamental decision: fixed- or adjustable-rate mortgage?
The dynamics of the interactive feedback learning mechanism can allow control decisions to be dynamically adjustable.
This knowledge can help you make a decision about choosing an adjustable-rate mortgage over a fixed-rate mortgage and can help you decide when it makes sense to refinance out of an adjustable rate mortgage.
They also established an adjustable approach to fuzzy soft set-based decision making (see [13 16]).
a. Instead of equally dividing the privacy budget to each layer of decision tree [35], design an adjustable privacy budget assignment strategy.
By means of level soft sets, we present an adjustable approach to fuzzy soft set based decision making and give some illustrative examples.
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