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Based on study of risk assessment models on domestic and foreign countries' software projects, this paper adopted Fuzzy Analytic Hierarchy Process to establish the risk assessment model for software projects, so as to realize the effective risk assessment on software projects.
Based on the deficiencies for risk indicators of fault probability and consequence's application in distribution systems, the strategy of risk assessment for system operation based on health and importance indices is proposed. The health index oriented to system running states and importance index geared to the user diversity are defined, by comprehensively thinking about the development situation...
Under the framework of South American Council of Infrastructure and Planning (Cosiplan — IIRSA in Spanish) project, related on the management of hazard and risk on regional infrastructure (South America), it is presented a new methodology for the identification of vulnerabilities on the infrastructure and their hazards. The Chilean methodology Management of Risk Disasters at Local level (GRDR in Spanish)...
For the risk management problem of key enterprises in the area, we propose a time-series based risk monitoring and assessment model which could manage and predict enterprises' dynamic risk levels. Our model takes a systematic method to monitor and evaluate enterprises' various types of risk indicators: by collecting real-time categorical data through pre-designed data-collection portal, the model...
The risk assessment is an important task in operational management. Since secondary system of substation(SSOS) is an important part to ensure the safe operation of the substation, close attention is needed to its operation risk causing power loss. According to past research, the difficulties of its risk assessment include complex relationship of secondary devices, and risk analysis of its impact on...
The fault of power distribution network may lead to customers power failure interruption. To nalyze and evaluate the power failure interruption caused by distribution network fault, this paper establishes a comprehensive evaluation indices set for power distribution network fault power failure. The normal cloud model is considered to be able to overcome the uncertainty, randomness and fuzziness of...
Relay protection is important for power system's stable operation. However, logic state of traditional Bayesian network is simplex. To adapt to the relay protection system operation environment with increasing complexity in current years, a risk assessment model of relay protection system based on multiple-state Bayesian networks is established with dynamic and static indexes. Taking advantages of...
Based on the three-terminal interval number and the project risk theory, this paper discusses the problem of risk weighting in uncertain market decision-making, and puts forward the method of combining the grey system theory and the three-terminal interval number to determine the weight of decision-making. The best-selling weight, the unsalable weight and the normal weight are calculated by expert...
The security situation of China's futures industry is currently in good condition on the whole, with strong industrial competitiveness and control force, as well as low external dependency. However, under the new normal, there still exist some problems, such as fewer trading varieties of futures, irrational investor structure and the slow internationalization process and so on. So we must accelerate...
This paper establishes a risk assessment index system for oil and gas resource countries, with 46 screened indicators across 5 dimensions, namely political risk, economic risk, investment risk, oil and gas resources risk, and the Chinese factor. Furthermore, by using the principal component analysis method, the 46 risk indicators were narrowed down to 16 principal components. Subsequently, a support...
Recent advances in Intrusion Risk Assessment (IRA) have brought promising solutions to enhance Intrusion Response Systems (IRS). However, current researches lack reasonable solutions to exploit system state information. Without the system state, the IRA results may suffer from the high false rate of Intrusion Detection Systems (IDS). To address this limitation, we propose a novel State-Aware Risk...
The risk assessment of power network is beneficial to improve the reliability of power system. It only considers the condition of the equipment itself in conventional power network risk assessment methods, but lacks of a consideration of the various influence factors in the network. A comprehensive risk assessment method based on Equipment Condition and entropy is proposed to evaluate power network...
Tunnel project is a large and complicated project, which often faced with huge potential risks. Therefore, the risk assessment of tunnel project is one of the essential work. Risk analysis has become a required tool to identify and quantify risk, as well as visualize causes and effects, and the course (chain) of events. During the process of risk assessment, however, because of limited information...
At present, the researches on credit risk analysis mainly focus on commercial bank loan or consumer credit risk, and there is little research about the credit risk of rural credit cooperatives. The purpose of this paper is to evaluate credit risk for the rural credit cooperatives using artificial neural network model. We establish credit risk assessment index system for rural credit cooperatives....
Internet plus era has brought great changes to the enterprise. The changes of the enterprise's business process and internal control increase the difficulty of evaluating the risk of material misstatement. In order to grasp the risk of material misstatement under Internet plus environment more accurately, this paper selects enterprises issued non-standard and standard audit opinions within five years...
This paper proposes an improved cloud-element model for information security risk assessment. Combined with the characteristics of dynamic balance of information security risk, we propose the control means and uncontrollable factors as information security risk evaluation index. The method of constructing the sample cloud has been expatiated, and the correlation between the cloud droplet and the sample...
With thousands of alerts identified by IDSs every day, the process of distinguishing which alerts are important (i.e., true positives) and which are is irrelevant (i.e., false positives) is become more complicated. The security administrator must analyze each single alert either a true of false alert. This paper proposes an alert prioritization model, which is based on risk assessment. The model uses...
In order to effectively control the risk of software project and overcome the effect of lack data and human subjective factors in the traditional evaluation, the transformation of quantification and reduction of natural language is realized, so a new evaluation model is put forward. Based on the concepts of risk weight, expert trust, risk consequence and so on, we use the correlation coefficient to...
We consider stochastic nonparametric regression problems in a reproducing kernel Hilbert space (RKHS), an extension of expected risk minimization to nonlinear function estimation. Popular perception is that kernel methods are inapplicable to online settings, since the generalization of stochastic methods to kernelized function spaces require memory storage that is cubic in the iteration index (“the...
Failure Modes and Effects Analysis (FMEA) is considered as a systematic, learning retention vehicle in semiconductor manufacturing. This paper tries to set up a quantized evaluation approach on FMEA effectiveness for the first time and also presents a systematic maintenance method of FMEA in Foundry (FAB) to instead of traditional paper works which realizes intelligent maintenance to increase the...
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