[1]崔铁军,李莎莎.系统运动空间与系统映射论的初步探讨[J].智能系统学报,2020,15(3):445-451.[doi:10.11992/tis.201902011]
 CUI Tiejun,LI Shasha.Preliminary study of system movement space and system mapping theory[J].CAAI Transactions on Intelligent Systems,2020,15(3):445-451.[doi:10.11992/tis.201902011]
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系统运动空间与系统映射论的初步探讨(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第15卷
期数:
2020年3期
页码:
445-451
栏目:
综述
出版日期:
2020-09-05

文章信息/Info

Title:
Preliminary study of system movement space and system mapping theory
作者:
崔铁军12 李莎莎3
1. 辽宁工程技术大学 安全科学与工程学院,辽宁 阜新 123000;
2. 大连交通大学,辽宁省隧道与地下结构工程技术研究中心,辽宁 大连 116028;
3. 辽宁工程技术大学 工商管理学院,辽宁 葫芦岛 125105
Author(s):
CUI Tiejun12 LI Shasha3
1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;
2. Tunnel & Underground Structure Engineering Center of Liaoning, Dalian Jiaotong University, Dalian 116028, China;
3. School of Business Administration, Liaoning Technical University, Huludao 125105, China
关键词:
安全科学智能科学系统科学信息生态方法论系统映射论系统运动空间系统可靠性系统结构
Keywords:
safety scienceintelligent sciencesystem scienceinformation ecological methodologysystem mapping theorysystem movement spacesystem reliabilitysystem structure
分类号:
X913;C931.1;TP18
DOI:
10.11992/tis.201902011
摘要:
在研究系统运动的动力和表象问题时,提出了系统运动空间和系统映射论的思想。由于它们在前期研究中解释了一些系统哲学问题,因此论文详细给出了它们及关联概念的定义。利用这些概念研究了自然系统和人工系统的特征,及它们之间的关系。研究表明:自然系统是因素全集到数据全集的映射;而人工系统是可测相关数据到可调节因素的映射。研究解释了人工系统得到的实验数据永远与自然系统产生的数据存在误差;人工系统的功能只是自然系统功能的一部分;人工系统只能无限趋近于自然系统而无法达到的原因。系统运动空间和系统映射论可以解决一些系统层面的问题,并拟在系统可靠性研究领域进行实现,但进一步问题有待研究。
Abstract:
In the study of the dynamic representation problems of system movement, the ideas of system movement space and system mapping theory are proposed. These ideas have explained some systemic philosophy problems in previous research. Therefore, this study provides detailed definitions of these ideas and their associated concepts. Using these concepts, we analyze the characteristics of natural and artificial systems and their relationships. This study shows that the natural system involves mapping from the complete set of factors to the complete set of data, whereas the artificial system involves mapping from measurable relevant data to adjustable factors. This study also explains that the experimental data obtained by the artificial system always have error in comparison with the natural system. The functions of the artificial system are only a part of the natural system, and the artificial system can only be infinitely close to the natural system, but cannot reach it. The system movement space and system mapping theory can solve some system-level problems and can be implemented to ensure system reliability. However, some problems need to be investigated further.

参考文献/References:

[1] 马峻. 基于中粒度层面的动态系统多层次映射关系模型[J]. 系统科学与数学, 2018, 38(8): 866-880
MA Jun. Research on multi-level mapping relationship model of dynamic system based on medium granularity[J]. Journal of systems science and mathematical sciences, 2018, 38(8): 866-880
[2] 何瑞祥. 粗粒度可重构计算系统映射与容错机制研究[D]. 芜湖: 安徽工程大学, 2018.
HE Ruixiang. Research on mapping and fault-tolerant mechanisms for coarse-grained reconfigurable computing system[D]. Wuhu: Anhui Polytechnic University, 2018.
[3] 曾霞. 基于障碍函数生成的混成系统安全验证研究[D]. 上海: 华东师范大学, 2017.
ZENG Xia. Safety verification of hybrid systems based on barrier certificate generation[D]. Shanghai: East China Normal University, 2017.
[4] 张连怡. 构件系统模型检测方法研究[D]. 北京: 清华大学, 2015.
ZHANG Lianyi. Model checking of component-based systems[D]. Beijing: Tsinghua University, 2015.
[5] 李倩. 基于形式化方法的混成系统安全性检验[D]. 上海: 华东师范大学, 2015.
LI Qian. Safety verification of hybrid systems based on formal method[D]. Shanghai: East China Normal University, 2015.
[6] 黄峰. 系统演化的形式化与具体化应用研究[D]. 南京: 南京邮电大学, 2014.
HUANG Feng. A study on formalization and materialization application of system evolution[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2014.
[7] 汪培庄. 因素空间与因素库[J]. 辽宁工程技术大学学报(自然科学版), 2013, 32(10): 1297-1304
WANG Peizhuang. Factor spaces and factor data-bases[J]. Journal of Liaoning Technical University (natural science edition), 2013, 32(10): 1297-1304
[8] WANG Peizhuang, LIU Zengliang, SHI Yong, et al. Factor space, the theoretical base of data science[J]. Annals of data science, 2014, 1(2): 233-251.
[9] 汪培庄, 郭嗣琮, 包研科, 等. 因素空间中的因素分析法[J]. 辽宁工程技术大学学报(自然科学版), 2014, 33(7): 865-870
WANG Peizhuang, GUO Sicong, BAO Yanke, et al. Causality analysis in factor spaces[J]. Journal of Liaoning Technical University (natural science edition), 2014, 33(7): 865-870
[10] 汪培庄. 因素空间与数据科学[J]. 辽宁工程技术大学学报(自然科学版), 2015, 34(2): 273-280
WANG Peizhuang. Factor spaces and data science[J]. Journal of Liaoning Technical University (natural science edition), 2015, 34(2): 273-280
[11] 钟义信, 张瑞. 信息生态学与语义信息论[J]. 图书情报知识, 2017(6): 4-11
ZHONG Yixin, ZHANG Rui. Information ecology and semantic information theory[J]. Documentation, information & knowledge, 2017(6): 4-11
[12] 钟义信. 从“机械还原方法论”到“信息生态方法论”——人工智能理论源头创新的成功路[J]. 哲学分析, 2017, 8(5): 133-144
ZHONG Yixin. From mechanical reductionism to methodology of information ecology: successful approach to innovation for AI theory[J]. Philosophical analysis, 2017, 8(5): 133-144
[13] 钟义信. 从信息科学视角看《信息哲学》[J]. 哲学分析, 2015, 6(1): 17-31
ZHONG Yixin. Information science and its view on information philosophy[J]. Philosophical analysis, 2015, 6(1): 17-31
[14] 钟义信. 高等智能·机制主义·信息转换[J]. 北京邮电大学学报, 2010, 33(1): 1-6
ZHONG Yixin. Advanced intelligence-mechanism approach-information conversion[J]. Journal of Beijing University of Posts and Telecommunications, 2010, 33(1): 1-6
[15] CUI Tiejun, LI Shasha. Deep learning of system reliability under multi-factor influence based on space fault tree[J]. Neural computing and applications, 2019, 31(9): 4761-4776.
[16] 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
[17] 崔铁军, 马云东. DSFT的建立及故障概率空间分布的确定[J]. 系统工程理论与实践, 2016, 36(4): 1081-1088
CUI Tiejun, MA Yundong. Discrete space fault tree construction and failure probability space distribution determination[J]. Systems engineering—theory and practice, 2016, 36(4): 1081-1088
[18] CUI Tiejun, LI Shasha. Study on the construction and application of discrete space fault tree modified by fuzzy structured element[J]. Cluster computing, 2019, 22(3): 6563-6577.
[19] 崔铁军, 汪培庄, 马云东. 01SFT中的系统因素结构反分析方法研究[J]. 系统工程理论与实践, 2016, 36(8): 2152-2160
CUI Tiejun, WANG Peizhuang, MA Yundong. Inward analysis of system factor structure in 01 space fault tree[J]. Systems engineering—theory and practice, 2016, 36(8): 2152-2160
[20] 崔铁军, 马云东. 系统可靠性决策规则发掘方法研究[J]. 系统工程理论与实践, 2015, 35(12): 3210-3216
CUI Tiejun, MA Yundong. The method research on decision criterion discovery of system reliability[J]. Systems engineering—theory & practice, 2015, 35(12): 3210-3216
[21] CUI Tiejun, WANG Peizhuang, LI Shasha. The function structure analysis theory based on the factor space and space fault tree[J]. Cluster computing, 2017, 20(2): 1387-1399.
[22] LI Shasha, CUI Tiejun, LI Xingsen, et al. Construction of cloud space fault tree and its application of fault data uncertainty analysis[C]//Proceedings of 2017 International Conference on Machine Learning and Cybernetics. Ningbo, China, 2017: 195-201.
[23] LI Shasha, CUI Tiejun, LIU Jian. Study on the construction and application of cloudization space fault tree[J]. Cluster computing, 2019, 22(3): 5613-5633.
[24] 崔铁军, 马云东. 基于因素空间的煤矿安全情况区分方法的研究[J]. 系统工程理论与实践, 2015, 35(11): 2891-2897
CUI Tiejun, MA Yundong. Research on the classification method about coal mine safety situation based on the factor space[J]. Systems engineering—theory and practice, 2015, 35(11): 2891-2897
[25] 崔铁军, 马云东. 因素空间的属性圆定义及其在对象分类中的应用[J]. 计算机工程与科学, 2015, 37(11): 2169-2174
CUI Tiejun, MA Yundong. Definition of attribute circle in factor space and its application in object classification[J]. Computer engineering and science, 2015, 37(11): 2169-2174
[26] 崔铁军, 马云东. 基于因素空间中属性圆对象分类的相似度研究及应用[J]. 模糊系统与数学, 2015, 29(6): 56-63
CUI Teijun, MA Yundong. Research on the similarity of object classification of attribute circular and application based on factors space[J]. Fuzzy systems and mathematics, 2015, 29(6): 56-63
[27] 崔铁军, 李莎莎, 王来贵. 系统功能结构最简式分析方法[J]. 计算机应用研究, 2019, 36(1): 27-30, 57
CUI Tiejun, LI Shasha, WANG Laigui. Simplest formula analysis method of system function structure[J]. Application research of computers, 2019, 36(1): 27-30, 57
[28] 崔铁军, 李莎莎, 王来贵. 完备与不完备背景关系中蕴含的系统功能结构分析[J]. 计算机科学, 2017, 44(3): 268-273, 306
CUI Tiejun, LI Shasha, WANG Laigui. System function structure analysis in complete and incomplete background relationship[J]. Computer science, 2017, 44(3): 268-273, 306

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[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(05):853.[doi:10.11992/tis.201807022]
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备注/Memo

备注/Memo:
收稿日期:2019-02-19。
基金项目:国家自然科学基金项目(51704141);国家重点研发计划项目(2017YFC1503102);国家自然科学基金委主任基金项目(61350003)
作者简介:崔铁军,副教授,博士后,主要研究方向为系统可靠性及力学系统稳定性。提出和建立了空间故障树理论及空间故障网络理论。获得多项优秀论文奖,授权发明专利20项,发表学术论文100余篇,出版学术专著4部;李莎莎,讲师,博士,主要研究方向为安全系统工程及安全管理。提出和建立了空间故障树理论及空间故障网络理论。授权发明专利5项,发表学术论文20余篇,出版学术专著2部
通讯作者:崔铁军.E-mail:ctj.159@163.com
更新日期/Last Update: 1900-01-01