Titlebook: Decision Models in Engineering and Management; Patricia Guarnieri Book 2015 Springer International Publishing Switzerland 2015 Civil Engin

correspondent

Decision Models in Credit Risk Managementmance, jeopardizing institutions, and even economies. In this chapter, we will explore decision models to manage credit risks, focusing on probabilistic and statistical methods that are coupled with machine learning techniques. In particular, we discuss and compare two ensemble methods, bagging and boosting, in studies of application scoring.

FRAUD

A Review on the Dynamic Decision Models for Manufacturing and Supply Chaint, an overall review of the deterministic dynamic models based on control theory and state representation is presented. After that, a set of models specifically applied to scheduling and production control is discussed in detail. A comparative analysis of these models is also presented, followed by some directions for future research.

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