In [10], perturbation method which depends on a small parameter can be led to imprecise solution by choosing unsuitable small parameter.
More than a time-lag, existing solutions are imprecise and the heating element – which are supposed to get really hot – often breaks from constant reheating.
This paper provides an overview on developments which involve imprecise probabilities for the solution of engineering problems.
Deadlock detection in concurrent programs that create networks with arbitrary numbers of nodes is extremely complex and solutions either give imprecise answers or do not scale.
This procedure eliminates errors in Pareto solution due to imprecise predictions of the surrogate model.
It also provides an alternative solution to deal with imprecise data.
Neural networks, with their remarkable ability to derive a general solution from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques.
Using fuzzy logic, solutions can be obtained given imprecise, noisy, and incomplete input information.
When the performance ratings are vague and imprecise, the fuzzy TOPSIS is a preferred solution method.
It can be applied to obtain the solution to a problem having imprecise, noisy, and incomplete input information.
