In this paper, a data mining model to SMEs for detecting financial and operational risk indicators by data mining is presenting. The identification of the risk factors by clarifying the relationship between the variables defines the discovery of knowledge from the financial and operational variables. Automatic and estimation oriented information discovery process coincides the definition of dat...

most organizations need to information systems to survive and thrive. therefore, they should seriously protect their information assets. creating structured and justifiable exchanges between cost, security and mission control systems security risks is essential. this is important in the planning and development of such systems. initial appropriate decisions can reduce costs and increase ease of...

Risk management provides the most important single framework for strategic, tactical and operational decision making across the US Military. Composite Risk Management (CRM) has been introduced to guide decision making across the US Army in training, combat and peacekeeping operations as well as off-duty activities. The Department of Defence’s Enterprise Risk Assessment Model (ERAM) provides a f...

One of the common questions in all projects, is "How much would be the final cost of the project?" or "How much would be the completion duration of the project?". Earned Value Management presents a method for estimation of these results. In general methods and formula of Earned Value Management, future trend of project, are anticipated completely based on its previous trend, and changes in envi...

risk management is one of the most important phases of project management and isthe most recently used by many researchers. in this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy fmea a...

Management of operational risk is of prime importance in riskmanagement for commercial banks, and many theoretical and practical studies of operational risk management have been carried out. Conditional value-at-risk (CVaR) models based on the peak value method of extreme value theory are used here tomeasure operational risk. Loss data for commercial banks are used in an empirical analysis. Tes...

the relationship between the manufacturer and supplier has changed from one of competition into that of greater cooperation during recent years. the selection and evaluation of suppliers are primary and important issues when an enterprise implements supplier relationship management (srm) and total quality management (tqm). much research indicates that most enterprises tend to evaluate their sup...