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Chunbing Bao
Chinese Academy of Sciences
10Publications
3H-index
25Citations
Publications 10
Newest
#1Chunbing Bao (CAS: Chinese Academy of Sciences)H-Index: 3
#2Dengsheng Wu (CAS: Chinese Academy of Sciences)H-Index: 10
Last.Jianping LiXiaolei (CAS: Chinese Academy of Sciences)H-Index: 19
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Risk measures play significant roles in determining the magnitude of risks. The traditional risk measures consider only the consequence (C)and the probability (P)and ignore the support of the knowledge behind to estimate Cand P. Several researchers have suggested adding knowledge as a third dimension in the risk measures. However, the issues of how to embed the dimension of knowledge in the risk measures to output an explicit expression of the risk measure and how to measure the stre...
#1Chunbing BaoH-Index: 3
#2Jie WanH-Index: 1
Last.Jianping LiXiaoleiH-Index: 19
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AbstractRisk matrices have been proven as useful risk management tools, especially in the cases where data are not sufficient. Current usage of risk matrices in both literature and practice is related to single risk assessment. However, sometimes the decision makers care more about the overall risk consisting of several of single risks, which is in the scope of the aggregation of single risks measured by risk matrices. Unfortunately, two notions, namely, incomparability of different qualitative ...
#1Dengsheng Wu (CAS: Chinese Academy of Sciences)H-Index: 10
#2Xiaoqian Zhu (CAS: Chinese Academy of Sciences)H-Index: 7
Last.Jianping LiXiaolei (CAS: Chinese Academy of Sciences)H-Index: 19
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Studies on software risk response theories and methods play an important role in improving the success rate of software project. With the requirement of software risk management, the existing single-objective risk response strategies section model is difficult to manage software risks effectively. This paper regards software risk response cost and software risk exposure as optimization objectives and proposes a multiobjective risk response strategies optimization model for software project. Furt...
#1Dengsheng Wu (CAS: Chinese Academy of Sciences)H-Index: 10
#2Jianping LiXiaolei (CAS: Chinese Academy of Sciences)H-Index: 19
Last.Qianzhi Dai (Hefei University of Technology)H-Index: 1
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Abstract Project risk response planning is an important component of project risk management to help ensure project success. However, thus far, the relevant research has ignored the correlations between risk factors during different project development subprocesses. This study proposes a novel risk response method by opening the black box of the project process and considering the risk correlations among different subprocesses to help practitioners create a practical risk response plan. In our m...
#1Dengsheng Wu (CAS: Chinese Academy of Sciences)H-Index: 10
#2Jianping LiXiaolei (CAS: Chinese Academy of Sciences)H-Index: 19
Last.Chunbing Bao (CAS: Chinese Academy of Sciences)H-Index: 3
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Software effort estimation (SEE) is the process of forecasting the effort required to develop a new software system, which is critical to the success of software project management and plays a significant role in software management activities. This study examines the potentials of the SEE method by integrating particle swarm optimization (PSO) with the case-based reasoning (CBR) method, where the PSO method is adopted to optimize the weights in weighted CBR. The experiments are implemented base...
#1Lili Yuan (CAS: Chinese Academy of Sciences)H-Index: 1
#2Yanni Hao (National Natural Science Foundation of China)H-Index: 1
Last.Dengsheng Wu (CAS: Chinese Academy of Sciences)H-Index: 10
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International research collaboration is vital to the success of scientific development of China, and the identification of collaboration partners is the basic unit of collaboration. While many researchers have investigated international research collaboration using publication data, grant data have rarely been used. This paper explores the international research collaboration partners of China from a new data perspective, based on grant data. Using data from the National Natural Science Foundati...
#1Chunbing Bao (CAS: Chinese Academy of Sciences)H-Index: 3
#2Jianping LiXiaolei (CAS: Chinese Academy of Sciences)H-Index: 19
Last.Dengsheng Wu (CAS: Chinese Academy of Sciences)H-Index: 10
view all 3 authors...
Extant research has focused upon assessing individual risks with the aid of risk matrices. Although risk aggregation is an important issue in risk management, aggregation of risks measured by risk matrices remains unresolved despite the wide usage of risk matrices. This paper proposes a framework to resolve the problem. We start from modifying the two notions of non-aggregatability of risk matrices, namely, qualitative description of inputs and non-comparability of different types of consequence...
#1Jianping LiXiaolei (CAS: Chinese Academy of Sciences)H-Index: 19
#2Chunbing Bao (CAS: Chinese Academy of Sciences)H-Index: 3
Last.Dengsheng Wu (CAS: Chinese Academy of Sciences)H-Index: 10
view all 3 authors...
Risk matrices have been widely used as a risk evaluation tool in many fields due to their simplicity and intuitive nature. Designing a rating scheme, i.e., determining the number of ratings used in a risk matrix and assigning different ratings to different cells, is an essential part of risk matrix construction. However, most of the related literature has focused on applying a risk matrix to various fields, instead of researching how to design risk matrices. Based on the analysis of several curr...
#1Chunbing Bao (CAS: Chinese Academy of Sciences)H-Index: 3
#2Dengsheng Wu (CAS: Chinese Academy of Sciences)H-Index: 10
Last.Jianming Chen (CAS: Chinese Academy of Sciences)H-Index: 6
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Abstract The design of risk matrices is a topic that has not reached a consensus, although risk matrices are widely used in practice. Several methods have been proposed to help design risk matrices. However, all the methods seem to have their own advantages, and it is difficult for the decision makers to choose one. In this paper, we compare two different risk matrix design methods from the perspective of applicability. Specifically, we give three detailed scenarios where different settings of t...
#1Chunbing Bao (CAS: Chinese Academy of Sciences)H-Index: 3
#2Jianping LiXiaolei (CAS: Chinese Academy of Sciences)H-Index: 19
Last.Chang Liu (CAS: Chinese Academy of Sciences)H-Index: 3
view all 6 authors...
Abstract Integrated risk control and asset optimization is an important issue in commercial bank industry. This paper combines balance sheet with income statement, and forms a structure measuring each asset's risk based on the method using income statement only, having a better use of the data resource. Considering the commercial bank's diversified pursuit of low risk and high profit, we solve the problem using the method of multiple objective programming, and we give the Pareto surface to suppo...
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