Abstract Risk matrices have been widely used as a risk evaluation tool in many fields due to their simplicity and intuitive nature. Designing rating scheme, i.e., determining the number of ratings matrix assigning different cells, is an essential part construction. However, most related literature has focused on applying various fields, instead researching how design matrices. Based analysis several current rules, we propose new approach, namely, sequential updating approach (SUA), scheme...

The design of risk matrices is a topic that has not reached consensus, although are widely used in practice. Several methods have been proposed to help matrices. However, all the seem their own advantages, and it difficult for decision makers choose one. In this paper, we compare two different matrix from perspective applicability. Specifically, give three detailed scenarios where settings given, then performance methods. Results show both but they will fail an effect sometimes.

Extant research has focused upon assessing individual risks with the aid of risk matrices. Although aggregation is an important issue in management, measured by matrices remains unresolved despite wide usage This paper proposes a framework to resolve problem. We start from modifying two notions non-aggregatability matrices, namely, qualitative description inputs and non-comparability different types consequences. Then, we explicate strong connection between fuzzy sets propose that...

Risk measures play significant roles in determining the magnitude of risks. The traditional risk consider only consequence (C) and probability (P) ignore support knowledge behind to estimate C P. Several researchers have suggested adding as a third dimension measures. However, issues how embed output an explicit expression measure strength remain unresolved. This paper proposes new incorporating knowledge, apart from It is shown that proposed has form when assessor full knowledge. In...

Risk matrices have been proven as useful risk management tools, especially in the cases where data are not sufficient. Current usage of both literature and practice is related to single assessment. However, sometimes decision makers care more about overall consisting several risks, which scope aggregation risks measured by matrices. Unfortunately, two notions, namely, incomparability different qualitative ratings types, hinder Therefore, few studied on this issue even ISO given a solution....

Journal Article Accepted manuscript Projecting the impact of testing and vaccination on transmission dynamics 2022 monkeypox outbreak in United States Get access Qinyue Zheng, PhD, PhD School International Affairs Public Administration, Ocean University China, Qingdao, China To whom correspondence should be addressed. Qiuwei Pan, Erasmus MC, room Na-1005, Wytemaweg 80, NL-3015, CN, Rotterdam, Netherlands (q.pan@erasmusmc.nl); 238 Songling Road, 266100, (zhengqinyue@ouc.edu.cn). Search for...

Abstract Treating severe COVID-19 patients and controlling the spread of SARS-CoV-2 are concurrently important in mitigating pandemic. Classically, antiviral drugs primarily developed for treating hospitalized with diseases to reduce morbidity and/or mortality, which have limited effects on limiting pandemic spread. In this study, we simulated expanded applications oral such as molnupiravir mitigate by nonhospitalized cases. We a compartmental mathematical model simulate treatment assuming...

Studies on software risk response theories and methods play an important role in improving the success rate of project. With requirement management, existing single-objective strategies section model is difficult to manage risks effectively. This paper regards cost exposure as optimization objectives proposes a multiobjective for Furthermore, it analyzes correlation from perspective probability dependence loss interaction puts forward project correlation. Empirical analysis results show that...

The systemic importance of a bank is usually measured by its effect on the banking system, conditional insolvency and solvency other banks. However, banks encounter different kinds shocks simultaneously in reality. So that, results give biased estimates banks' when potential risks are ignored. Researchers like Tarashev et al. proposed Shapley value method to deal with risk interactions, but it suffers heavy computational costs. This paper proposes an ANOVA-like decomposition measure more...

Epicentres are the focus of COVID-19 research, whereas emerging regions with mainly imported cases due to population movement often neglected. Classical compartmental models useful, however, likely oversimplify complexity when studying epidemics. This study aimed develop a multi-regional, hierarchical-tier mathematical model for better understanding and heterogeneity spread control. By incorporating epidemiological flow data, we have successfully constructed SLIHR model. With this model,...

Integrated risk control and asset optimization is an important issue in commercial bank industry. This paper combines balance sheet with income statement, forms a structure measuring each asset's based on the method using statement only, having better use of data resource. Considering bank's diversified pursuit low high profit, we solve problem multiple objective programming, give Pareto surface to support selection decisions. The analysis framework integrated financial statements provides...

This study applies machine learning methods to predict the scale of social financing, which is an important basis for formulating monetary policy and conducting macroeconomic regulation. The results show that XGBoost has high accuracy stability in predicting incremental size SHAP values help explain main factors influencing model predictions. addition RMB loans, features financing include trust corporate bonds, undiscounted bank acceptance bills. provides a feasible forecasting method can...

Abstract Complicated interaction between risk events is the critical obstacle preventing accurate aggregation, which an important issue in management. Recent research integrates into aggregation with different perspectives and lacks a comprehensive discussion of this issue, making process not universal for diverse cases, especially subjective assessment contexts. Therefore, article proposes theoretically convincing method embedding types to support decision analysis more effectively. The...

In recent years, emergencies have emerged one after another, and consumers’ panic buying behavior has also intensified. Under this circumstance, how the government can suppress through official always been a difficult problem for to solve. Since cause consumers' uncertainty risk perception, it is particularly important change perception various behaviors conduct strategic games with them. This paper proposes an agent-based ABM model, which incorporates into analysis of buying, in refuting...