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標(biāo)題: Titlebook: Risk Matrix; Rating Scheme Design Chunbing Bao,Jianping Li,Dengsheng Wu Book 2022 The Editor(s) (if applicable) and The Author(s), under ex [打印本頁]

作者: 生手    時(shí)間: 2025-3-21 17:03
書目名稱Risk Matrix影響因子(影響力)




書目名稱Risk Matrix影響因子(影響力)學(xué)科排名




書目名稱Risk Matrix網(wǎng)絡(luò)公開度




書目名稱Risk Matrix網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Risk Matrix被引頻次




書目名稱Risk Matrix被引頻次學(xué)科排名




書目名稱Risk Matrix年度引用




書目名稱Risk Matrix年度引用學(xué)科排名




書目名稱Risk Matrix讀者反饋




書目名稱Risk Matrix讀者反饋學(xué)科排名





作者: helper-T-cells    時(shí)間: 2025-3-21 20:29

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Chunbing Bao,Jianping Li,Dengsheng Wung connected neural systems. The second part introduces the currently available non-invasive technologies for measuring structural and functional connectivity in the brain. Part three provides an overview of the analysis techniques currently available and highlights new developments. Part four intro
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作者: 無意    時(shí)間: 2025-3-22 22:03
e second part introduces the currently available non-invasive technologies for measuring structural and functional connectivity in the brain. Part three provides an overview of the analysis techniques currently available and highlights new developments. Part four intro978-3-642-42087-0978-3-540-71512-2Series ISSN 1860-0832 Series E-ISSN 1860-0840
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Chunbing Bao,Jianping Li,Dengsheng Wue second part introduces the currently available non-invasive technologies for measuring structural and functional connectivity in the brain. Part three provides an overview of the analysis techniques currently available and highlights new developments. Part four intro978-3-642-42087-0978-3-540-71512-2Series ISSN 1860-0832 Series E-ISSN 1860-0840
作者: 膽大    時(shí)間: 2025-3-23 14:00

作者: 載貨清單    時(shí)間: 2025-3-23 19:05
Risk Matrix978-981-19-1480-5Series ISSN 2731-6254 Series E-ISSN 2731-6262
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作者: 雄偉    時(shí)間: 2025-3-24 17:15
Conclusions and Future Research,This chapter presents the main conclusions of this book and?future research.
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作者: 毗鄰    時(shí)間: 2025-3-25 06:05
https://doi.org/10.1007/978-981-19-1480-5Risk Matrix; Rating Scheme; Risk Aggregation; Risk Matrix Design; Risk Matrix Aggregation; Three-dimensio
作者: vocation    時(shí)間: 2025-3-25 11:13

作者: 悠然    時(shí)間: 2025-3-25 15:08
Three-Dimensional Risk Matrix: Theoretical Basis and Construction,dimension. The three dimensional risk measure is constructed, and impact factors of the strength of knowledge are identified, and a multi-attribute decision-make method is proposed to measure the strength of knowledge. Finally, the three dimensional risk matrix is designed based on these?preparatory work.
作者: Magisterial    時(shí)間: 2025-3-25 17:34
Rating Scheme Design Methods,esearching how to design risk matrices. In this chapter, we introduce several risk matrix’s rating scheme design methods, including some unwritten rules, utility function, Cox‘s axioms, and the sequential updating approach. And the comparison of these methods are analyzed.
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作者: 本土    時(shí)間: 2025-3-26 16:34
Rating Scheme Design Methods,ential 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. In this chapter, we introduce several risk matrix’s rating scheme design methods, including some unwritten rul
作者: 打算    時(shí)間: 2025-3-26 18:19

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作者: AWRY    時(shí)間: 2025-3-27 02:53
Three-Dimensional Risk Matrix: Theoretical Basis and Construction,dimension. The three dimensional risk measure is constructed, and impact factors of the strength of knowledge are identified, and a multi-attribute decision-make method is proposed to measure the strength of knowledge. Finally, the three dimensional risk matrix is designed based on these?preparatory
作者: cinder    時(shí)間: 2025-3-27 09:21
of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. Cognition and motor coordination seem to arise from the interactions of local neuronal networks, which themselves are connected?in large scales across the entire brain. The spatial architectures?betwe
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作者: Nomadic    時(shí)間: 2025-3-27 16:31
Chunbing Bao,Jianping Li,Dengsheng Wu coordination seem to arise from the interactions of local neuronal networks, which themselves are connected?in large scales across the entire brain. The spatial architectures?between various scales inevitably influence the dynamics of the brain and thereby its function. But how can we integrate bra
作者: 有說服力    時(shí)間: 2025-3-27 18:19
Chunbing Bao,Jianping Li,Dengsheng Wu of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. Cognition and motor coordination seem to arise from the interactions of local neuronal networks, which themselves are connected?in large scales across the entire brain. The spatial architectures?betwe
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Chunbing Bao,Jianping Li,Dengsheng Wu coordination seem to arise from the interactions of local neuronal networks, which themselves are connected?in large scales across the entire brain. The spatial architectures?between various scales inevitably influence the dynamics of the brain and thereby its function. But how can we integrate bra
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