a review of damages caused by landslide shows the need for studying effective parameters in landslide occurrence and prediction. this study aims to improve landslide prediction results for tutkabon region in gilan province. to this end, shannon entropy theory was employed for modeling and considering data uncertainty. slope, height, geomorphologic conditions, earth’s curve, closeness to river, ...

The objects of the study are the territories of innovative development, which are created in the regions to support the full cycle of production of innovative products. Risk assessment is the part of requirements to design of the development strategies of such territories and their implementation as it is shown in the paper. The author offers a comprehensive multi-level risk classification of t...

Quantitative Risk Management (QRM) standardly concerns a vector of one-period profit-and-loss random variables X = (X1, . . . ,Xd) defined on some probability space (Ω ,F,P). Risk Aggregation concerns the study of the aggregate financial position Ψ (X), for some measurable function Ψ : Rd → R. Under the terms of the New Basel Capital Accord (Basel II), internationally active banks are required ...

Credit risk is the most important of banks’ financial risks. As far as the largest Swedish banking groups are concerned, 60 per cent of their assets consist in lending to the public. Consequently, measures for mitigating credit risk are of significant importance for banks in their risk management. During the financial crisis, credit risk in the financial system has become of focal importance fo...

Supply chain risk management is an active area of research and there is a research gap of exploring established risk quantification techniques in other fields for application in the context of supply chain management. We have developed a novel framework for quantification of supply chain risks that integrates two techniques of Bayesian belief network and Game theory. Bayesian belief network can...