In the previous models, the probability techniques mainly dealt with the cost connections like investment, running, maintenance, fault, and dismantle without deterioration evaluation/prediction based on probability approach (Nasir et al. 2015; Bian et al. 2014).
There are approaches based on probability theory, linguistics, user-centered design, and multimedia technologies.
Moreover, this chapter is devoted to examples of analytical approaches based on probability theory that lead to average value solutions.
Approaches based on probability density functions (PDF) are a natural choice for the simulation of high-speed and supersonic turbulent reacting flows due to their ability to represent chemical sources in closed form.
In contrast to existing studies, the results derived from the proposed solution procedure conserve the fuzziness of the input information, representing a significant difference from the crisp results obtained using approaches based on probability theory.
In this paper we study an approach to cope with these problems, which is not based on probability theory as the more common approaches like, e.g., expectation maximization, but uses possibility theory as the underlying calculus of a graphical model.
A novel approach based on probability and randomization has emerged to synergize with the standard deterministic methods for control of systems with uncertainty.
The different features of a malicious file like the permission based features and the API call based features are considered in order to provide a better detection by training an ensemble of classifiers and combining their decisions using collaborative approach based on probability theory.
Wiesman and Roos [ 16] present an ontology matching approach based on probability theory by exchanging instances of concepts.
Marzocchi et al. (2012) and Selva et al. (2012, 2015) review major challenges in the scientific management of volcanic crises, and illustrate a general quantitative procedure based on probability estimates, which by analogy to approaches in seismology (Jordan et al. 2011) is defined by the authors as "operational eruption forecasting".
