The approach integrates the probabilistic and the local ordered weighted averaging (OWA) methods via Monte Carlo simulation, to take into account the uncertainty related to criteria weights, spatial heterogeneity of preferences and the risk attitude of the analyst.
ProFNN integrates the probabilistic information of fuzzy rules into the antecedent parts and quantifies the impacts of the rules on the consequent parts using mutual subsethood, which work in conjunction with volume defuzzification in a gradient descent learning frame work.
In this paper, we introduce an efficient workflow to integrate the probabilistic neural networks (PNNs), as a nonlinear facies classification algorithm, into the generalized boosted regression model (GBM), as nonlinear modeling algorithm, for core permeability modeling and prediction.
This approach is based on a probabilistic Bayesian model integrating the usual RH probabilistic model with a probabilistic model of breakpoint occurrences with the reference order.
This approach is based on a probabilistic Bayesian model integrating the usual RH probabilistic model with a probabilistic model of breakpoint occurrences with a reference order, typically obtained from the position of orthologous markers in a related sequenced genome [ 20].
Thus, the probabilistic output (termed "class probability") of each of the multiple classes was calculated by integrating the set of probabilistic outputs calculated above.
These damage grades integrate the initial probabilistic evaluation with professional experience and judgment in order to determine potential damage to a particular structure at a particular location.
This work proposes a probabilistic approach integrating the Monte Carlo simulation with plastic limit analysis in order to assess the probability of failure of a structure subjected to fire.
Recently, for integrating the large-scale wind power, a probabilistic MOTP model equipped with risk-control strategies is developed by [13] to avoid transmission overloading.
To perform the probabilistic vulnerability assessment of surface ships under extreme dynamic loads, a stochastic finite element tool, SIMLAB was developed by integrating the nonlinear finite element code, DYNA3D, into a simulation based probabilistic analysis framework.
