[1]崔铁军,李莎莎.多因素波动影响下事件状态的联系数表示研究[J].智能系统学报,2023,18(4):833-840.[doi:10.11992/tis.202207029]
CUI Tiejun,LI Shasha.Research on the connection number representation of event states under the influence of multi-factor fluctuations[J].CAAI Transactions on Intelligent Systems,2023,18(4):833-840.[doi:10.11992/tis.202207029]
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CUI Tiejun,LI Shasha.Research on the connection number representation of event states under the influence of multi-factor fluctuations[J].CAAI Transactions on Intelligent Systems,2023,18(4):833-840.[doi:10.11992/tis.202207029]
多因素波动影响下事件状态的联系数表示研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
18
期数:
2023年第4期
页码:
833-840
栏目:
学术论文—人工智能基础
出版日期:
2023-07-15
- Title:
- Research on the connection number representation of event states under the influence of multi-factor fluctuations
- Keywords:
- safety systematology; intelligent science; set pair analysis theory; multi-factor fluctuation; event state; connection number; equivalence proof; factor dimensionality reduction
- 分类号:
- TP181; X913
- 摘要:
- 为研究在因素波动影响下事件状态变化和不同状态出现的可能性，本文将语义划分与集对分析联系数的多级状态对应，建立因素波动影响下的事件状态联系数表示方法。制定了单因素波动情况下事件状态联系数的构建方法，以单位因素区间对因素平面进行离散，分别计算各离散区域的联系数，综合所有联系数形成事件状态联系数。根据数值逻辑的或关系和联系数运算法则耦合单因素事件状态联系数得到2因素事件状态联系数。多因素通过切片法降维至2因素才可使用上述方法。本文证明了离散求解与整体求解的等价性，使用各语义划分面积比例计算联系数较离散法更为方便。实例中使用整体求解法计算了2因素事件状态联系数。最后说明了本文方法面临的问题、原因和解决方法。
- Abstract:
- In order to study the possibility of event state change and different states under the influence of factor fluctuation, this paper establishes the representation method of event state connection number under the influence of factor fluctuations by corresponding semantic partition with multi-level state of set pair analysis connection number. The construction method of event state connection number under single factor fluctuation is established. The factor plane is discretized by unit factor interval, the connection numbers of each discrete region is calculated respectively. All the connection numbers are integrated to form the event state connection numbers. According to the OR relationship of numerical logic and the algorithm of connection number, the connection number of single-factor event state is coupled to obtain the connection number of two-factor event state. The method described above can only be used only when the multiple factors is reduced to two factors by slicing. This paper proves the equivalence between discrete solution and global solution, and it is more convenient to calculate the connection number by using the area proportion of each semantic division than by the discrete method. In the example, the global solution method is used to calculate the connection number of two-factor event states. Finally, the problems, reasons and solutions of this method are illustrated.
- 参考文献/References:
-
[1] 崔铁军, 李莎莎. 基于QPSO的多因素影响下系统故障概率变化程度研究[J]. 安全与环境学报, 2021, 21(5): 1905–1910
CUI Tiejun, LI Shasha. On the changing degree of the system fault probability under the impact of the multiple factors based on the QPSO[J]. Journal of safety and environment, 2021, 21(5): 1905–1910
[2] 卢颖, 仇乐, 吕希凡, 等. 基于ISODATA的踩踏生成特征与集群风险关联性研究[J]. 安全与环境学报, 2022, 22(3): 1459–1466
LU Ying, QIU Le, LYU Xifan, et al. Analysis of correlation between stampede generation characteristics and clustering risk using ISODATA algorithm[J]. Journal of safety and environment, 2022, 22(3): 1459–1466
[3] 崔铁军, 李莎莎. 联系数和属性多边形的系统故障模式识别[J]. 智能系统学报, 2022, 17(3): 568–575
CUI Tiejun, LI Shasha. System fault pattern recognition based on connection number and attribute polygon[J]. CAAI transactions on intelligent systems, 2022, 17(3): 568–575
[4] 朱晶, 仲静文, 徐海峰, 等. 基于水平定向钻施工对堤防安全稳定影响的多因素综合分析[J]. 水利水电技术, 2021, 52(6): 67–75
ZHU Jing, ZHONG Jingwen, XU Haifeng, et al. Analysis of the comprehensive influence of multiple factors based on the horizontal directional drilling construction on the safety and stability of levee[J]. Water resources and hydropower engineering, 2021, 52(6): 67–75
[5] 靳文舟, 姚尹杰. 多因素耦合作用下的车辆群事故伤害程度估计[J]. 郑州大学学报(工学版), 2021, 42(3): 1–7
JIN Wenzhou, YAO Yinjie. Estimation of accident injury severity of vehicle groups considering multi-factor coupling[J]. Journal of Zhengzhou University (engineering science edition), 2021, 42(3): 1–7
[6] 王燕语, 范圣权, 范乐. 基于多因素、多层次评判的多灾种下城市安全韧性评价指标研究[J]. 建筑科学, 2021, 37(1): 82–88
Wang Yanyu, Fan Shengquan, Fan Le. Research on assessment index of urban safety resilience under multi-hazards based on multi-factors and multi-level evaluation[J]. Building science, 2021, 37(1): 82–88
[7] 岳仁田, 李君尉. 基于多因素耦合的航空运输系统脆弱性分析[J]. 中国安全生产科学技术, 2020, 16(12): 150–156
YUE Rentian, LI Junwei. Vulnerability analysis of air transportation system based on multi-factor coupling[J]. Journal of safety science and technology, 2020, 16(12): 150–156
[8] 李路, 贺超, 徐鹏, 等. 多因素耦合作用下的边坡滑动机理研究[J]. 矿业研究与开发, 2020, 40(4): 79–84
Li Lu, He Chao, Xu Peng, et al. Study on the slope sliding mechanism under multi-factor coupling[J]. Mining research and development, 2020, 40(4): 79–84
[9] 王晨宇, 汪定, 王菲菲, 等. 面向多网关的无线传感器网络多因素认证协议[J]. 计算机学报, 2020, 43(4): 683–700
WANG Chenyu, WANG Ding, WANG Feifei, et al. Multi-factor user authentication scheme for multi-gateway wireless sensor networks[J]. Chinese journal of computers, 2020, 43(4): 683–700
[10] 陈蔚, 刘雪娇, 夏莹杰. 基于层次分析法的车联网多因素信誉评价模型[J]. 浙江大学学报(工学版), 2020, 54(4): 722–731
CHEN Wei, LIU Xuejiao, XIA Yingjie. Multi-factor reputation evaluation model based on analytic hierarchy process in vehicle Ad-hoc networks[J]. Journal of Zhejiang University (engineering science edition), 2020, 54(4): 722–731
[11] 陈艳, 吕云翔, 柴访, 等. 动态激励视角下建筑工人不安全行为演化博弈分析[J]. 安全与环境工程, 2020, 27(1): 197–203
Chen Yan, LYU Yunxiang, Chai Fang, et al. Evolutionary game analysis of unsafe behavior of construction workers from the perspective of dynamic incentives[J]. Safety and environmental engineering, 2020, 27(1): 197–203
[12] 罗科, 李胤达, 王振. 多因素耦合下的采空区上覆岩层安全厚度分析[J]. 煤矿安全, 2019, 50(12): 223–226
LUO Ke, LI Yinda, WANG Zhen. Research on safety thickness of overlying strata in goaf under multi-factor coupling[J]. Safety in coal mines, 2019, 50(12): 223–226
[13] 王景春, 赵福全, 王炳华, 等. 多因素影响下的地铁车站深基坑韧性评估[J]. 中国安全科学学报, 2019, 29(10): 154–159
WANG Jingchun, ZHAO Fuquan, WANG Binghua, et al. Resilience evaluation for deep foundation pit of metro station under influence of multiple factors[J]. China safety science journal, 2019, 29(10): 154–159
[14] 裴兴旺, 李慧民, 李文龙, 等. 基于熵权物元可拓的桥梁检测作业危险性评价[J]. 中国安全科学学报, 2019, 29(8): 42–48
PEI Xingwang, LI Huimin, LI Wenlong, et al. Risk assessment of bridge detection operation based on entropy weight and matter-element extension theory[J]. China safety science journal, 2019, 29(8): 42–48
[15] 李文龙, 李慧民, 裴兴旺, 等. 基于多因素耦合的山区道路系统脆弱性评估[J]. 中国安全科学学报, 2019, 29(5): 165–170
LI Wenlong, LI Huimin, PEI Xingwang, et al. Vulnerability assessment of mountainous road system based on multiple-factor coupling[J]. China safety science journal, 2019, 29(5): 165–170
[16] 崔铁军, 马云东. 基于多维空间事故树的维持系统可靠性方法研究[J]. 系统科学与数学, 2014, 34(6): 682–692
CUI Tiejun, MA Yundong. Research on the maintenance method of system reliability based on multi-dimensional space fault tree[J]. Journal of systems science and mathematical sciences, 2014, 34(6): 682–692
[17] 崔铁军, 马云东. 空间故障树的径集域与割集域的定义与认识[J]. 中国安全科学学报, 2014, 24(4): 27–32
CUI Tiejun, MA Yundong. Defining and understanding both size set domain and cut set domain for multi-dimensional space fault tree[J]. China safety science journal, 2014, 24(4): 27–32
[18] 崔铁军, 马云东. 多维空间故障树构建及应用研究[J]. 中国安全科学学报, 2013, 23(4): 32–37,62
CUI Tiejun, MA Yundong. Research on multi-dimensional space fault tree construction and application[J]. China safety science journal, 2013, 23(4): 32–37,62
[19] 崔铁军, 李莎莎. 基于集对分析的SFT特征函数重构及性质研究[J]. 智能系统学报, 2022, 17(1): 131–136
CUI Tiejun, LI Shasha. Reconstruction of SFT characteristic function and its properties based on Set Pair Analysis[J]. CAAI transactions on intelligent systems, 2022, 17(1): 131–136
[20] 崔铁军, 李莎莎. 多因素集对分析的系统故障模式识别方法研究[J]. 智能系统学报, 2022, 17(2): 387–392
CUI Tiejun, LI Shasha. Research on system fault pattern recognition based on set pair analysis with multi factor[J]. CAAI transactions on intelligent systems, 2022, 17(2): 387–392
[21] 崔铁军, 李莎莎. 基于特征函数和联系数的系统故障模式识别[J]. 中国安全科学学报, 2021, 31(6): 1–6
CUI Tiejun, LI Shasha. Research on system fault pattern recognition based on characteristic function and connection number[J]. China safety science journal, 2021, 31(6): 1–6
[22] 赵克勤, 黄德才, 陆耀忠. 基于a+bi+cj型联系数的网络计划方法初探[J]. 系统工程与电子技术, 2000, 22(2): 29–31
ZHAO Keqin, HUANG Decai, LU Yaozhong. A new network planning method based on the connection number a+bi+cj[J]. Systems engineering and electronics, 2000, 22(2): 29–31
[23] 赵克勤. 集对分析对不确定性的描述和处理[J]. 信息与控制, 1995, 24(3): 162–166
ZHAO Keqin. Disposal and description of uncertainties based on the set pair analysis[J]. Information and control, 1995, 24(3): 162–166
[24] 崔铁军, 李莎莎. 空间故障树与空间故障网络理论综述[J]. 安全与环境学报, 2019, 19(2): 399–405
CUI Tiejun, LI Shasha. Revision of the space fault tree and the space fault network system[J]. Journal of safety and environment, 2019, 19(2): 399–405
[25] 崔铁军, 李莎莎, 朱宝艳. 含有单向环的多向环网络结构及其故障概率计算[J]. 中国安全科学学报, 2018, 28(7): 19–24
CUI Tiejun, LI Shasha, ZHU Baoyan. Multidirectional ring network structure with one-way ring and its fault probability calculation[J]. China safety science journal, 2018, 28(7): 19–24
- 相似文献/References:
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[1]李德毅.AI——人类社会发展的加速器[J].智能系统学报,2017,12(5):583.[doi:10.11992/tis.201710016]
LI Deyi.Artificial intelligence:an accelerator for the development of human society[J].CAAI Transactions on Intelligent Systems,2017,12():583.[doi:10.11992/tis.201710016]
[2]崔铁军,汪培庄.空间故障树与因素空间融合的智能可靠性分析方法[J].智能系统学报,2019,14(5):853.[doi:10.11992/tis.201807022]
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CUI Tiejun,LI Shasha.Conversion law of fault information in safety science[J].CAAI Transactions on Intelligent Systems,2020,15():360.[doi:10.11992/tis.201811004]
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CUI Tiejun,LI Shasha.Preliminary study of system movement space and system mapping theory[J].CAAI Transactions on Intelligent Systems,2020,15():445.[doi:10.11992/tis.201902011]
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CUI Tiejun,LI Shasha.Causality extraction of SFEP text and its conversion to SFN[J].CAAI Transactions on Intelligent Systems,2020,15():998.[doi:10.11992/tis.201907021]
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CUI Tiejun,LI Shasha.Philosophical significance and implementation of an intelligent system based on the system reliability-failure model[J].CAAI Transactions on Intelligent Systems,2020,15():1104.[doi:10.11992/tis.202003047]
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CUI Tiejun,LI Shasha.Sample selection strategy of artificial intelligence based on factor space[J].CAAI Transactions on Intelligent Systems,2021,16():346.[doi:10.11992/tis.202003002]
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备注/Memo
收稿日期:2022-07-19。
基金项目:国家自然科学基金项目（52004120）.
作者简介:崔铁军，教授，博士生导师，主要研究方向为系统安全及系统故障演化理论研究。获国家、省部及协会科技奖及青年奖等11项，主持及参与国家自然科学基金项目8项，授权发明专利28项。发表学术论文300余篇，出版专著10部。;李莎莎，教授，博士，主要研究方向为系统安全、安全管理及可靠性研究。获省部及协会科技奖等8项，主持及参与国家自然科学基金项目3项，授权发明专利7项。发表学术论文60余篇。
通讯作者:崔铁军.E-mail:ctj.159@163.com
更新日期/Last Update:
1900-01-01