Specifically, we deal with a ranking problem with a collection of financial reports, in which each report is associated with a company. By using text information in the reports, which is so-called the soft information, we apply learning-to-rank techniques to rank a set of companies to keep them in line with their relative risk levels. In our experiments, a collection of financial reports, which...

Any practical process of risk ranking must group hazards into a manageable number of categories. Defining such categories requires value choices that can have important implications for the rankings that result. Most risk-management organizations will find it useful to begin defining categories in terms of environmental loadings or initiating events. However, the resulting categories typically ...

The score represents the actual data loss risk and is designed to enable the security operations team to initiate an appropriate investigative response. The risk score is evaluated by algorithms that combine knowledge about the content, baseline information ,and various observables and indicators regarding the source and the destination. These indicators are fused together using a framework cal...

Clinical Engineering Department in hospitals need to take decision for Health Care Technology assessment which includes purchase, maintenance, use, and replacement. In this paper we proposed a analytical hierarchy processes -group decision making (AHP-GDM) model to prioritize the medical equipment for replacement. The model structure includes 11 quantitative and qualitative factors descending a...

A novel ranking method based on multi-time information fusion is proposed for intuitionistic fuzzy sets (IFSs) and applied to the threat assessment problem, a multi-attribute decision making (MADM) one. This method integrates a designed intuitionistic fuzzy entropy (IFE), the closeness degree of technique for order preference by similarity to ideal solution (TOPSIS), the decision maker¡¯s (DM¡¯...

Risk ranking offers a potentially powerful means for gathering public input to help set risk-management priorities. In most rankings conducted to date, the categories and attributes used to describe the risks have varied widely, the materials and procedures have not been designed to facilitate comparisons among risks on all important attributes, and the validity and reproducibility of the resul...