百晓学者学者目录

史开泉

山东大学数学与系统科学学院

个人简介

史开泉，山东大学数学与系统科学学院教授，研究方向为数学、非线性科学与系统科学、自动化技术；提出S-粗集、函数S-粗集、P-集合等理论，代表成果包括《函数S-粗集与粗规律挖掘-分离》（2007年科学出版社出版）及多项关于粗糙集扩展模型、规律挖掘、模糊识别与信息安全的应用研究。

精选作品

期刊论文

  1. Xuefang Ren, Kaiquan Shi, Shengrong Lu, Jing Huang (2025). The Fractional Features of Separated Fuzzy Sets and Its Intelligent Acquisition. Communications in computer and information science.DOI
  2. Xiaoyou Chen, Shu-Li Zhao, Kaiquan Shi (2025). Data Equivalence Class and Data Intelligent Separation-Discovery in Identification Algorithm.DOI
  3. Shuzhen Chen, Kaiquan Shi (2024). Intelligent Retrieval and Secure Acquisition of Embedded Data. Mathematics.DOI
  4. 陈淑珍，史开泉，李守伟（2023）. 微信息的嵌入生成及其智能隐藏-还原. 《山东大学学报(理学版)》.
  5. 陈淑珍，李守伟，史开泉（2023）. 证据推理与检索数据网络安全获取. 《山东大学学报(理学版)》.
  6. Xiuquan Zhang, Lin Shen, Kai-Quan Shi (2023). Data block decomposition and intelligent secure acquisition of microdata. Scientific Reports.DOI
  7. 张秀全，张俊艺，史开泉（2022）. P-集合的动态边界特征与信息动态融合生成. 《信阳师范大学学报(自然科学版)》.
  8. 李守伟，史开泉（2022）. 逆分离模糊集合■与模糊信息安全获取. 《山东大学学报(理学版)》.
  9. 史开泉，李守伟（2022）. 分离模糊集合■与模糊信息智能融合. 《山东大学学报(理学版)》.
  10. 张秀全，史开泉（2022）. 信息动态融合识别与P-增广矩阵关系. 《河南师范大学学报(自然科学版)》.
  11. 陈淑珍，李守伟，史开泉（2022）. 信息融合-分离与隐性属性的显性特征. 《山东大学学报(理学版)》.
  12. Xiao-You Chen, Shu-Li Zhao, Kaiquan Shi (2022). Matrix reasoning and intelligent acquisition-application of unknown information. Soft Computing - A Fusion of Foundations, Methodologies and Applications.DOI
  13. Xiuquan Zhang, Lin Shen, Kai-Quan Shi (2022). (αF, αF)-Information Fusion Generated by Information Segmentation and Its Intelligent Retrieval. Mathematics.DOI
  14. 郝秀梅，史开泉（2020）. 大数据智能检索与大数据区块元智能分离. 《计算机科学》.
  15. 刘纪芹，史开泉（2020）. 大数据分解-融合及其智能获取. 《计算机科学》.
  16. Shouwei Li, Yao Xiao, Kai-Quan Shi (2020). Dynamic Boundary of P-Set and Intelligent Acquisition for Two Types of Information Fusion. De Computis.DOI
  17. 史开泉（2019）. 大数据结构-逻辑特征与大数据规律. 《山东大学学报(理学版)》.
  18. 张凌，任雪芳，史开泉（2018）. 两类动态信息模型及其应用. 《计算机科学》.
  19. 陈保会，张凌，史开泉（2018）. P-信息智能动态融合与信息规律状态智能识别. 《山东大学学报(理学版)》.
  20. 任雪芳，张凌，史开泉（2018）. 两类动态信息规律模型及其在信息伪装、风险识别中的应用. 《计算机科学》.
  21. Feng-Sheng Xu, Xiu-Qing Yu, Kai-Quan Shi（2018）. P-数据模型与数据的智能获取 (P-data Model and Intelligent Acquisition of P-data). 《计算机科学》.DOI
  22. Ji-Hua Tang, Ling Zhang, Bao-Hui Chen, Kai-Quan Shi, Hsien-Wei Tseng, Yi-Lun Chen (2018). Outer P-information law reasoning and its application in intelligent fusion and separating of information law. Microsystem Technologies.DOI
  23. Xuefang Ren, Ling Zhang, Kai-Quan Shi（2018）. 两类动态信息规律模型及其在信息伪装、风险识别中的应用 (Two Types of Dynamic Information Law Models and Their Applications in Information Camouflage and Risk Identification). 《计算机科学》.DOI
  24. Ling Zhang, Xuefang Ren, Kai-Quan Shi（2018）. 两类动态信息模型及其应用 (Two Types of Dynamic Information Models and Their Applications). 《计算机科学》.DOI
  25. Xuefang Ren, Ling Zhang, Kai-Quan Shi, Hsien-Wei Tseng, Yi-Lun Chen (2018). Inverse P-augmented matrix method-based the dynamic findings of unknown information. Microsystem Technologies.DOI
  26. Ling Zhang, Xuefang Ren, Kai-Quan Shi, Hsien-Wei Tseng, Yi-Lun Chen (2018). Inverse packet matrix reasoning model-based the intelligent dynamic separation and acquisition of educational information. Microsystem Technologies.DOI
  27. Kai-Quan Shi, Xiu-Qing Yu, Feng-Sheng Xu（2017）. 属性基数余-亏值定理与信息规律动态内-外分离.DOI
  28. Ling Zhang, Xuefang Ren, Kai-Quan Shi (2017). Inverse P-data Models and Data Intelligent Separation.DOI
  29. 汤积华，陈保会，史开泉（2016）. P-增广矩阵推理与信息的智能分解挖掘. 《山东大学学报(理学版)》.
  30. Ling Zhang, Xuefang Ren, Kai-Quan Shi（2016）. 信息规律智能变换-伪装与P-规律增广矩阵.DOI
  31. 任雪芳，张凌，史开泉（2016）. 逆P-集合的边界特征与系统状态监测. 《计算机科学》.
  32. Xuefang Ren, Ling Zhang, Kai-Quan Shi（2016）. 逆P集合の境界特徴とシステム状態監視【JST・京大機械翻訳】.
  33. Ling Zhang, Xuefang Ren, Kai-Quan Shi (2016). The dynamic segmentation characteristics of P-augmented matrix and the dynamic intelligent acquisition of P-information. International Journal of Applied Decision Sciences.DOI
  34. Xuefang Ren, Ling Zhang, Kai-Quan Shi（2016）. 逆P-集合的边界特征与系统状态监测 (Boundary Characteristics of Inverse P-sets and System Condition Monitoring). 《计算机科学》.DOI
  35. Ji-Hua Tang, Bao-Hui Chen, Kai-Quan Shi（2016）. P-拡張行列推論と情報の知的分解マイニング【JST・京大機械翻訳】.
  36. Ling Zhang, Xuefang Ren, Kai-Quan Shi (2016). Inverse P-Information Law Models and the Reality-Camouflage Intelligent Transformations of Information Image. 2016 International Conference on Network and Information Systems for Computers (ICNISC).DOI
  37. 吴玉芹，林宏康，史开泉（2015）. 外P-信息融合和它的属性合取特征. 《数学的实践与认识》.
  38. 赵占平，周厚勇，史开泉（2015）. P-可测函数的构造性质. 《数学的实践与认识》.
  39. 史开泉，汤积华，张凌（2015）. 逆P-信息智能融合与信息智能隐藏的隐性传递. 《系统工程与电子技术》.
  40. 徐凤生，于秀清，史开泉（2015）. 动态知识智能发现与属性逻辑动态关系. 《计算机科学》.
  41. 徐凤生，闫立梅，史开泉（2015）. 具有属性析取萎缩-扩张特征的动态数据智能挖掘. 《计算机科学》.
  42. Ying Lu, Bei-You Li, Kai-Quan Shi（2015）. 具有属性析取扩展特征的内逆P-信息智能挖掘 (Intelligent Mining for P-Information with Expanded Characteristic of Disjunctive Attribute). 《计算机科学》.DOI
  43. 汤积华，张凌，史开泉（2015）. 信息规律智能融合与它的智能融合内-分离. 《计算机科学》.
  44. Xuefang Ren, Ling Zhang, Kai-Quan Shi（2015）. 基数余-亏与逆P-增广矩阵.DOI
  45. 史开泉（2015）. P-增广矩阵与信息的智能动态发现-辨识. 《山东大学学报(理学版)》.
  46. Cheng-Xian Fan, F. Chang, Kai-Quan Shi (2015). The generation of band information law and the dynamic hiding of information law. International Journal of Machine Learning and Cybernetics.DOI
  47. Ji-Hua Tang, Ling Zhang, Kai-Quan Shi（2015）. 信息规律智能融合与它的智能融合内-分离 (Intelligent Fusion of Information Law and its Inner Separating). 《计算机科学》.DOI
  48. Feng-Sheng Xu, Xiu-Qing Yu, Kai-Quan Shi（2015）. 动态知识智能发现与属性逻辑动态关系 (Intelligent Discovery of Dynamic Knowledges and Logic Dynamic Relation between their Attributes). 《计算机科学》.DOI
  49. Feng-Sheng Xu, Li-Mei Yan, Kai-Quan Shi（2015）. 具有属性析取萎缩-扩张特征的动态数据智能挖掘 (Dynamic Data Intelligent Mining with Attributes Disjunctive Reduction and Expansion Characteristics). 《计算机科学》.DOI
  50. Xuefang Ren, Ling Zhang, Kai-Quan Shi (2015). P-information Law Models and the Separation-Discovery of Unknown Information Law. Fuzzy Systems and Data Mining.DOI
  51. 吴松丽，陈桂友，史开泉（2014）. 内扰动与属性合取扩展规律挖掘-发现. 《数学的实践与认识》.
  52. 吴松丽，魏葆雅，陈桂友，史开泉（2014）. 内P-反动态信息特征与信息恢复. 《数学的实践与认识》.
  53. 徐凤生，于秀清，史开泉（2014）. 属性内-外融合与信息智能挖掘-分离. 《计算机科学》.
  54. 张凌，汤积华，史开泉（2014）. 内P-信息融合与它的属性合取特征. 《山东大学学报(理学版)》.
  55. 史开泉（2014）. P-信息规律智能融合与软信息图像智能生成. 《山东大学学报(理学版)》.
  56. 吴松丽，陈桂友，史开泉（2014）. 内逆P-信息智能融合与它的属性析取特征-应用. 《计算机科学》.
  57. Kai-Quan Shi (2014). Function Inverse P-sets and the Hiding Information Generated by Function Inverse P-information Law Fusion. IFIP International Conference on e-Business, e-Services, and e-Society.DOI
  58. 张环理，李小朝，史开泉（2013）. 内P-推理与系统故障判断恢复. 《数学的实践与认识》.
  59. 林蓉，史开泉（2013）. 内P-信息伪装与真伪信息辨识. 《系统工程与电子技术》.
  60. 刘道广，谢维奇，史开泉（2013）. 内P-显性信息规律显性-隐性特征与显性信息规律发现. 《数学的实践与认识》.
  61. 于秀清，徐凤生，史开泉（2013）. 风险投资亏损的P-推理发现与应用. 《计算机科学》.
  62. 郭志林，赵树理，史开泉（2013）. 基于随机P-集合的系统状态检测-识别. 《计算机科学》.
  63. 张环理，李豫颖，史开泉（2013）. 内P（ρ,σ）-集合的随机特性-应用. 《山东大学学报(理学版)》.
  64. 赵树理，王军昌，史开泉（2013）. 逆P-等价类的逆P-推理分离-还原. 《山东大学学报(理学版)》.
  65. 吴松丽，吴玉芹，史开泉（2013）. 内P-信息显性-隐性分离与显性-隐性分离定理. 《山东大学学报(理学版)》.
  66. 张环理，范成贤，史开泉（2013）. P-集合与内P-信息的显性-隐性特征. 《山东大学学报(理学版)》.
  67. 徐凤生，于秀清，史开泉（2013）. 逆P-信息嵌入隐藏与它的逆P-推理分离-发现. 《计算机科学》.
  68. 胡明礼，范成贤，史开泉（2013）. 区间数决策矩阵规范化方法的性质分析. 《计算机科学》.
  69. 赵树理，吴松丽，史开泉（2013）. 内P-推理信息恢复与属性潜藏推理发现. 《计算机科学》.
  70. 赵树理，张环理，史开泉（2013）. 函数P-集合与内P-信息规律依赖内-挖掘. 《计算机科学》.
  71. Yu-Ying Li, Huannli Zhang, Kai-Quan Shi, Wei-Rong Chen (2013). Identification and Reduction of F-Recursive Genetic Information. 2013 Fourth Global Congress on Intelligent Systems.DOI
  72. Kai-Quan Shi, Ji-Hua Tang (2013). Intelligent Fusion of Outer Inverse Packet Information and its Application of Attribute Disjunction.
  73. Shi Kai-quan (2013). Internal P-reasoning Information Recovery and Attribute Hiding Reasoning Discovery.
  74. Shi Kai-quan (2013). Separation-reduction on inverse packet reasoning of inverse packet equivalence class. Journal of Shandong University.
  75. Shi Kai-quan (2013). Function P-sets and Internal-mining of Internal P-information Law Dependence.
  76. 周厚勇，赵占平，史开泉（2012）. P-可测空间及其可测函数. 《数学的实践与认识》.
  77. 郝秀梅，李淑敏，史开泉（2012）. F-阶梯知识与F-阶梯挖掘-发现. 《计算机科学》.
  78. 史开泉（2012）. 逆P-集合. 《山东大学学报(理学版)》.
  79. 林蓉，史开泉（2012）. 函数P-集合与信息规律的属性控制. 《计算机科学》.
  80. 赵树理，范成贤，史开泉（2012）. 倒向P-推理与内P-属性类特征. 《计算机科学》.
  81. 徐凤生，于秀清，史开泉（2012）. 内P-推理与内收敛信息的辨识. 《计算机科学》.
  82. 刘道广，史开泉（2012）. 外-遗传信息与它的外P-推理辨识. 《山东大学学报(理学版)》.
  83. 史开泉（2012）. 函数逆P-集合与信息规律融合. 《山东大学学报(理学版)》.
  84. Shi Kai-quan (2012). P-sets,Inverse P-sets and the Intelligent Fusion-filter Identification of Information.
  85. Shi Kai-quan (2012). Inverse P-sets. Journal of Shandong University.
  86. Shi Kai-quan (2012). Function inverse packet sets and information law fusion. Journal of Shandong University.
  87. Shi Kai-quan (2012). Outer P-information generation and its reasoning-searching discovery. Journal of Shandong University.
  88. 李豫颖，林宏康，史开泉（2011）. 数据离散区间特征与数据发现-应用. 《系统工程与电子技术》.
  89. 高建来，赵占平，史开泉（2011）. 2×2列联表中二属性相关的Bayes检验. 《数学的实践与认识》.
  90. 刘若慧，刘保仓，史开泉（2011）. 外P-集合与F-信息伪装. 《系统工程与电子技术》.
  91. 李豫颖，范成贤，史开泉（2011）. 混合记忆信息与记忆信息筛选. 《系统工程与电子技术》.
  92. 汪洋，耿红琴，史开泉（2011）. P-集合与动态信息的依赖-发现. 《系统工程与电子技术》.
  93. Kai-Quan Shi (2011). F-information Camoufladge and Camoufladge-reduction Identification.
  94. Kai-Quan Shi (2011). Function P-sets. International Journal of Machine Learning and Cybernetics.DOI
  95. Shi Kai-quan (2011). P-reasoning and P-reasoning Discovery-identification of Information.
  96. Shi Kai-quan (2011). Characteristics of data discrete interval and data discovery-application. Systems engineering and electronics.
  97. Shi Kai-quan (2011). Backward P-reasoning and Attribution Residual Discovery-Application.
  98. Shunliang Huang, Huafeng Yang, Kaiquan Shi (2010). Rough law energy and measurement of (F)over-bar-decomposition rough law. Journal Of Systems Engineering And Electronics, Vol. 210, No. 10.DOI
  99. 张冠宇，周厚勇，史开泉（2010）. P-集合与双P-数据恢复-辨识. 《系统工程与电子技术》.
  100. 张丽，崔玉泉，史开泉（2010）. 外P-集合与数据内-恢复. 《系统工程与电子技术》.
  101. 周玉华，张冠宇，史开泉（2010）. P-集合与双信息规律生成. 《数学的实践与认识》.
  102. 赵俊恺，蔡成闻，史开泉（2010）. 一种基于单向变异S-概率粗集的动态决策方法. 《系统工程与电子技术》.
  103. 邱锦明，颜建军，史开泉 (2010). S-rough Laws and Its Dependent Separation by F-Interference. Journal of Donghua University(English Edition).
  104. Li Zhang, Ming Xiu, Kai-Quan Shi (2010). P-Sets and Applications of Internal-Outer Data Circle.DOI
  105. Yu-Lian Shang, Min Feng, Peng Li, Kai-Quan Shi (2010). Application of the Central Encryption System in the Dynamic Secret Sharing Scheme (II). Computer and Information Science.DOI
  106. Ming Xiu, Kai-Quan Shi, Li Zhang (2010). P-Sets and \(\bar{F}\)-Data Selection-Discovery.DOI
  107. Chang-Jing Lu, Jin-Ming Qiu, Kai-Quan Shi (2010). Rough data and applications of rough data law. 2010 International Conference on Educational and Network Technology.DOI
  108. Yang Wang, Fei Zhang, Kai-Quan Shi (2010). Notice of RetractionP-sets and integrated Knowledge generated -filtration. International Conference on Computer Science and Information Technologies.DOI
  109. Yu-ying Li, Li Zhang, Kai-Quan Shi (2010). Generation and Recovery of Compressed Data and Redundant Data.DOI
  110. 邱锦明，卢昌荆，史开泉（2010）. S-粗决策及其F-干扰生成. 《厦门大学学报(自然科学版)》.
  111. Shi Kai-quan (2010). P-sets and its Applied Characteristics.
  112. Shi Kai-quan (2010). Outer P-sets and data internal-recovery. Systems engineering and electronics.
  113. Shi Kai-quan (2010). Function S-Rough Sets, Function Rough Sets and Separation-Composition of Law for Information Systems.
  114. Shi Kai-quan (2010). Study of the dynamic characteristics of Rough sets. Journal of Shandong University.
  115. Shi Kai-quan (2010). S-rough Sets and Characteristics of Data Mining Unit Circle.
  116. Junkai Zhao, Cai Cheng-wen, Shi Kai-quan (2010). Method of dynamic decision based on one direction variation S-probability rough sets. Systems engineering and electronics.
  117. Shi Kai-quan (2010). Study on application of central public cryptosystem in dynamic secret sharing scheme. Jisuanji yingyong yanjiu.
  118. Shi Kai-quan (2010). ■-knowledge and Its F-reduction Theorems. Shuxue jikan.
  119. Li Dongya, Ren Xuefang, Shi Kaiquan (2009). Rough law generation and its separation-recognition. Journal Of Systems Engineering And Electronics, Vol. 20, No. 6.
  120. Zhang Ling, Shi Kaiquan (2009). Security transmission and recognition of F-knowledge. Journal Of Systems Engineering And Electronics, Vol. 200, No. 40.
  121. Zhou Houyong, Huang Shunliang, Shi Kaiquan (2009). Hiding dependence-discovery of F-hiding laws and system laws. Journal Of Systems Engineering And Electronics, Vol. 20, No. 3.
  122. Fu Haiyan, Shi Kaiquan (2009). Function S-rough sets and two law forecast. Journal Of Systems Engineering And Electronics, Vol. 20, No. 2.
  123. Qiu Jinming, Shi Kaiquan (2009). F-rough law and the discovery of rough law. Journal Of Systems Engineering And Electronics, Vol. 20, No. 1.
  124. 何童，史开泉（2009）. 粗糙网络及其应用. 《系统工程与电子技术》.
  125. 付海艳，刘同亭，史开泉（2009）. 规律与它的-f-属性控制. 《系统工程与电子技术》.
  126. 邱育锋，杜英玲，史开泉（2009）. 函数S-粗集与规律F-隐藏. 《计算机科学》.
  127. 史开泉，张丽（2009）. 内P-集合与数据外-恢复. 《山东大学学报(理学版)》.
  128. Meng-Lei Lin, Bao-Hui Chen, Kai-Quan Shi (2009). Notice of RetractionFunction S-rough sets and intuitionistic fuzzy recognition of law variation. IEEE International Conference on Network Infrastructure and Digital Content.DOI
  129. Shunliang Huang, Kaiquan Shi (2009). One Direction S-Rough Decision Law Inference and Law Mining. International Workshop on Intelligent Systems and Applications (ISA).DOI
  130. Shunliang Huang, Kaiquan Shi (2009). Two Direction S-Rough Decision and Rough Decision Law Mining. WRI Global Congress on Intelligent Systems.DOI
  131. Shi Kai-quan (2009). P-sets and(,F)-data generation-identification. Journal of Shandong University.
  132. Shi Kai-quan (2009). Rough network and its application. Systems engineering and electronics.
  133. Shi Kai-quan (2009). Law and its ~-f-attribute control. Systems engineering and electronics.
  134. Shi Kai-quan (2009). Rough Law and Its one Direction Security. Journal of Henan Normal University.
  135. Shi Kai-quan (2009). Rough Law Energy and F-decomposing Rough Law Measurement.
  136. Shi Kai-quan (2009). Function S-rough Sets and Law F-hiding.
  137. Shi Kai-quan (2009). Function S-rough sets and ■-implicit image generation-identification. Journal of Shandong University.
  138. Hao Xiumei, Fu Haiyan, Shi Kaiquan (2008). S-rough sets and the discovery of F-hiding knowledge. Journal Of Systems Engineering And Electronics, Vol. 19, No. 6.
  139. Li Jian, Xu Xiaojing, Shi Kaiquan (2008). Rough similarity degree and rough close degree in rough fuzzy sets and the applications. Journal Of Systems Engineering And Electronics, Vol. 190, No. 50.
  140. He Tong, Xue Peijun, Shi Kaiquan (2008). Application of rough graph in relationship mining. Journal Of Systems Engineering And Electronics, Vol. 19, No. 4.DOI
  141. Xu Xiaojing, Li Jian, Shi Kaiquan (2008). Static rough similarity degree and its applications. Journal Of Systems Engineering And Electronics, Vol. 190, No. 20.
  142. 何童，史开泉（2008）. 粗糙集代数关系的图结构分析. 《系统工程与电子技术》.
  143. 蔡成闻，张凌，史开泉（2008）. 单向S-粗集对偶与数据筛选-过滤的扩展应用. 《系统工程与电子技术》.
  144. 黄顺亮，史开泉（2008）. 单向S-粗决策规律与决策规律挖掘. 《系统工程与电子技术》.
  145. 罗邦莹，王钦敏，邱锦明，史开泉（2008）. ■-风险属性入侵与承灾规律识别. 《系统工程与电子技术》.
  146. 管延勇，王洪凯，史开泉（2008）. 集值信息系统及其属性约简. 《数学的实践与认识》.
  147. 李健，史开泉（2008）. 基于条件粗糙熵的粗集不确定性度量. 《系统工程与电子技术》.
  148. 郝秀梅，付海艳，史开泉（2008）. S-粗集与F-隐藏知识发现. 《系统工程与电子技术》.
  149. 王洪凯，管延勇，史开泉（2008）. 基于直觉模糊集的粗交流. 《系统工程理论与实践》, Vol. 28, No. 7.下载原文
  150. 方文青，于秀清，史开泉（2008）. F-粗积分与它的面积覆盖-边界厚度特征. 《山东大学学报(理学版)》.
  151. Yu-Feng Qiu, Ying-Ling Du, Kai-Quan Shi (2008). Function one direction S-rough sets and F -decomposition of image. International Conference on Intelligent Systems and Knowledge Engineering.DOI
  152. Haiqing Hu, Pitao Wang, Kai-Quan Shi (2008). Function S-Rough Sets Method in Feature Selection. 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.DOI
  153. Chang-Jing Lu, Kai-Quan Shi (2008). Rough data and rough data law recognition. International Conference on Intelligent Systems and Knowledge Engineering.DOI
  154. Kai-Quan Shi, Jianli Zhao (2008). Function S-rough sets and security-authentication of hiding law. Science in China Series F Information Sciences.DOI
  155. Shu-Fu Zheng, Feng-Chai Liao, Kai-Quan Shi (2008). Discernable matrix and its application in decision rules. 2008 3rd International Conference on Intelligent System and Knowledge Engineering.DOI
  156. Yu-Feng Qiu, Xuefang Ren, Kai-Quan Shi (2008). Function S-rough Sets and image F-interior hiding. 2008 3rd International Conference on Intelligent System and Knowledge Engineering.DOI
  157. Kai-Quan Shi, Bing-Xue Yao (2008). Function S-rough sets and law identification. Science in China Series F Information Sciences.DOI
  158. Jin-Ming Qiu, Kai-Quan Shi (2008). S-rough sets and the dependent separation by its F-attribute interference. International Conference on Intelligent Systems and Knowledge Engineering.DOI
  159. Yun Wang, Yan-Yong Guan, Hong-Kai Wang, Kai-Quan Shi (2008). An Improved Intermediate Value Theorem and Rough Fix-Point Theorem of Roughly Continuous Discrete Functions. 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.DOI
  160. Jin-Ming Qiu, Chang-Jing Lu, Kai-Quan Shi (2008). Rough law generation and the discovery of F - rough law. International Conference on Intelligent Systems and Knowledge Engineering.DOI
  161. Chen Xiuqiong, Shi Kai-quan (2008). Analysis on earthquake precursory anomalies based on two direction S-rough sets.DOI
  162. Shi Kai-quan (2008). Graphic structure analysis for algebraic relationship of rough sets. Systems engineering and electronics.
  163. Shi Kai-quan (2008). S-rough sets and F-hiding knowledge discovery. Systems engineering and electronics.
  164. Shi Kai-quan (2008). Uncertainty measurement of rough sets based on conditional entropy. Systems engineering and electronics.
  165. Shi Kai-quan (2008). F-rough integrals and their covered area-boundary thickness characteristics. Journal of Shandong University.
  166. Shi Kai-quan (2008). Rough communication based on intuitionistic fuzzy set. Systems Engineering - Theory & Practice.
  167. Shi Kai-quan (2008). F-rough integrals generated by function one-direction S-rough sets. Journal of Shandong University.
  168. Shi Kai-quan (2008). F-rough law and its attribute control. Journal of Shandong University.
  169. Shi Kai-quan (2008). Secret sharing scheme based on multiuser both-lock encryption system. Jisuanji gongcheng yu sheji.
  170. Shi Kaiquan, Yao Bingxue (2007). F-generation law and recognition of system law. Journal Of Systems Engineering And Electronics, Vol. 180, No. 40.
  171. Shi Kaiquan, Chen Hui (2007). (F)over-bar-law collision and system state recognition. Journal Of Systems Engineering And Electronics, Vol. 180, No. 30.
  172. Shi Kaiquan, Xu Xiaojinq (2007). F-Law collision and system state recognition. Journal Of Systems Engineering And Electronics, Vol. 180, No. 20.
  173. Wang Yun, Liu Qinghong, Mu Yong, Shi Kaiquan (2007). New judging model of fuzzy cluster optimal dividing based on rough sets theory. Journal Of Systems Engineering And Electronics, Vol. 18, No. 2.
  174. Hu Haiqing, Wang Tan, Shi Kaiquan (2007). S-Rough communication and its characteristics. Journal Of Systems Engineering And Electronics, Vol. 180, No. 10.DOI
  175. 刘纪芹，史开泉（2007）. 双枝模糊集模糊性度量. 《系统工程与电子技术》.
  176. 杜英玲，史开泉（2007）. F-规律推理与规律挖掘. 《系统工程与电子技术》.
  177. 胡海清，史开泉（2007）. 函数S-粗集与图像识别. 《系统工程与电子技术》.
  178. 徐晓静，裴海峰，史开泉（2007）. 模糊等价关系基础上的粗集分解. 《系统工程与电子技术》.
  179. 薛佩军，史开泉，卢昌荆（2007）. ■-生成规律与系统规律识别. 《系统工程与电子技术》.
  180. 王晶晶，史开泉，雷英杰（2007）. 一种基于函数S-粗集的态势预测方法. 《系统工程与电子技术》.
  181. 刘纪芹，史开泉（2007）. 基于粗糙集的信息粗传递. 《系统工程与电子技术》.
  182. 崔玉泉，李振波，赵光磊，史开泉（2007）. 战场弹药总量预测模型研究. 《系统工程与电子技术》.
  183. Yun Wang, Yan-Yong Guan, Kai-Quan Shi (2007). Basic Theory in the New Real Line-scale Rough Function Model. Journal of Information and Computing Science.DOI
  184. Haiqing Hu, Yong Zhang, Kai-Quan Shi (2007). Function Two Direction S-Rough Sets Method in Image Hiding. International Conference on Intelligent Computing.DOI
  185. Jin-Ming Qiu, Kai-Quan Shi（2007）. S-粗集与它的F^-干扰依赖还原.
  186. Jian Li, Xiao-jing Xu, Kaiquan Shi (2007). The axiomatization of rough similarity degree. IEEE International Conference on Grey systems and Intelligent Services.DOI
  187. Hongkai Wang, Yanyong Guan, Yao Bing-xue, Kaiquan Shi (2007). Result Optimal Translation Sequence of a New Definition Form of Rough Communication. International Conference on Machine Learning and Cybernetics.DOI
  188. Cui Yu-quan, Zhenbo Li, Zhao Guanglei, Shi Kai-quan (2007). Study on model of battlefield ammunition consumption forecast. Systems engineering and electronics.
  189. Shi Kai-quan (2007). Information rough communication based on rough sets. Systems engineering and electronics.
  190. Shi Kai-quan (2007). F-law inference and law mining. Systems engineering and electronics.
  191. Shi Kai-quan (2007). Function S-rough set and open-loop control system disturbs recognition. Journal of Shandong University.
  192. Shi Kai-quan (2007). S-rough information matrix and its dynamical characteristics. Computer Engineering and Applications Journal.
  193. Shi Kai-quan (2007). Knowledge discernibility and discernibility properties. Computer Engineering and Applications Journal.
  194. 史开泉（2006）. S-粗集与新材料发现-识别. 《系统工程与电子技术》.
  195. 裴海峰，徐晓静，史开泉（2006）. 模糊粗交流及其应用. 《系统工程与电子技术》.
  196. 徐晓静，裴海峰，史开泉（2006）. λ-粗模糊集的分解. 《模糊系统与数学》.
  197. 王洪凯，陈秀琼，史开泉（2006）. 粗交流结果最优传递序列的模拟退火算法. 《模糊系统与数学》.
  198. 王耘，管延勇，史开泉（2006）. 模糊聚类最优划分判定的一种新模型(英文). 《模糊系统与数学》.
  199. 管延勇，王洪凯，史开泉（2006）. 集合的粗相似度量. 《模糊系统与数学》.
  200. 管延勇，史开泉，薛佩军（2006）. 基于描述子的信息系统属性约简及决策规则优化. 《控制与决策》.
  201. 王洪凯，管延勇，史开泉（2006）. 粗交流整体最优传递序列的模拟退火算法. 《系统工程理论与实践》, Vol. 26, No. 9.下载原文
  202. Tong He, Yong Chen, Kai-Quan Shi (2006). Weighted Rough Graph and Its Application. Sixth International Conference on Intelligent Systems Design and Applications.DOI
  203. Kai-Quan Shi, Bing-Xue Yao (2006). Function S-Rough Sets and Recognition of Financial Risk Laws. Rough Sets and Knowledge Technology.DOI
  204. Hongkai Wang, Yanyong Guan, Yao Bing-xue, Kaiquan Shi (2006). Fuzzy Rough Communication and Optimization Problem of its Translation Sequence. International Conference on Machine Learning and Cybernetics.DOI
  205. Shi Kai-quan, Xia Jia-rong (2006). Function S-rough sets and mining-discovery of rough law in systems. Journal of Systems Engineering and Electronics.DOI
  206. Cui Ming-hui, Shi Kai-quan (2006). f-heredity knowledge and f-heredity mining. Journal of Systems Engineering and Electronics.DOI
  207. Cui Yu-quan, Shi Kai-quan (2006). Function S-rough sets and its applications. Journal of Systems Engineering and Electronics.DOI
  208. Shi Kai-quan (2006). S-rough sets and new material discovery-recognition. Systems engineering and electronics.
  209. Shi Kai-quan (2006). System F-Law intrusion and recognition. Journal of Shandong University.
  210. Shi Kai-quan (2006). The Decomposition of Rough Fuzzy Sets Based on Fuzzy Equivalence. Mohu xitong yu shuxue.
  211. Shi Kai-quan (2006). A method to design fuzzy system based on rough set theory. Journal of Shandong University.
  212. Shi Kai-quan (2006). Fuzzy rough communication and its application. Systems engineering and electronics.
  213. 史开泉，崔玉泉（2005）. S-粗集与它的分解还原. 《系统工程与电子技术》.
  214. 张萍，史开泉，卢昌荆（2005）. 函数S-粗集与粗规律挖掘-分离. 《系统工程与电子技术》.
  215. Hongkai Wang, Peijun Xue, Kaiquan Shi (2005). THE PROBLEM OF ROUGH COMMUNICATION OF FUZZY CONCEPT.DOI
  216. Kaiquan Shi, Yu-Quan Chi (2005). One direction S-rough decision and its decision model.DOI
  217. Ping Zhang, Kaiquan Shi (2005). Function S-rough sets and rough law heredity-ming. International Conference on Machine Learning and Cybernetics.DOI
  218. Haiqing Hu, Shou-Feng Yin, Kaiquan Shi (2005). Knowledge rough recognition on assistant set of two direction S-rough sets and recognition model. International Conference on Machine Learning and Cybernetics.DOI
  219. Young Li, Haiqing Hu, Kaiquan Shi (2004). T-order iteration P/sub m//sup (t)/-P~/sub m//sup (t)/ encryption transmission of fuzzy recognition. International Conference on Machine Learning and Cybernetics.DOI
  220. Shi Kai-quan (2004). Knowledge Dependence and Knowledge Dependent Characteristics. Journal of Liaocheng Teachers College.
  221. Shi Kai-quan (2004). Safety fuzzy management and the model of fuzzy management. Journal of Shandong University.
  222. 崔玉泉，史开泉（2003）. 粗集的动态特性分析及应用. 《中国管理科学》, Vol. 11, No. 6.下载原文
  223. Kai-Quan Shi, Yuquan Cui (2003). Both-branch fuzzy decision and decision encryption-authentication. Science in China Series F: Information Sciences.DOI
  224. Kaiquan Shi (2003). S-rough sets and its applications in diagnosis-recognition for disease. International Conference on Machine Learning and Cybernetics.DOI
  225. Shi Kai-quan (2003). Analysis on Dynamic Change of Rough Sets and Its Application. Zhongguo guanli kexue.
  226. 张大海，江世芳，史开泉（2002）. 灰色预测公式的理论缺陷及改进. 《系统工程理论与实践》, Vol. 22, No. 8.下载原文
  227. Kai-Quan Shi (2002). PROBLEMS ON ENCRYPT COMMUNICATION IN ELECTUONIC POWER SYSTEM AND COMMUNICATION AUTHENTICATION.
  228. 张大海，史开泉，江世芳（2001）. 灰色负荷预测的参数修正法. 《电力系统及其自动化学报》.
  229. 史开泉，史开泉 李歧强（2001）. 双枝模糊决策与决策识别问题. 《中国工程科学》, Vol. 3, No. 1.下载原文
  230. 史开泉，李歧强 史开泉（2001）. 生产调度的稳定性研究. 《中国工程科学》, Vol. 3, No. 3.下载原文
  231. Kaiquan Shi, Yo-Ping Huang (2001). A public cryptosystem based on the generated data in extension set. 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).DOI
  232. 刘华文，史开泉（2000）. 直觉结合算子模糊逻辑. 《山东大学学报(工学版)》.
  233. 史开泉，史开泉 陈泽雄（2000）. 生成锁p〈G,X,X‘〉和它的中央加密系统. 《中国工程科学》, Vol. 2, No. 2.下载原文
  234. Yo-Ping Huang, Kaiquan Shi (2000). The α-embedded and A's fuzzy decomposition theorems. Fuzzy Sets Syst..DOI
  235. Yo-Ping Huang, Kaiquan Shi (1996). Genetic algorithms in the identification of fuzzy compensation system. 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).DOI
  236. 史开泉（1991）. Fuzzy传递闭包■ * 的 S-K-Q 算法. 《模糊数学和系统成果会论文集》.
  237. 史开泉（1991）. A()矩阵及其灰色特性定理. 《高校应用数学学报A辑》.
  238. 史开泉（1990）. Fuzzy传递闭包■的Fuzzy—Boolean矩形判定准则. 《中国系统工程学会模糊数学与模糊系统委员会第五届年会论文选集》.
  239. 史开泉，汪保明（1990）. Fuzzy传递闭包与Fuzzy分类矩阵的S-K-Q判定定理. 《模糊系统与数学》.
  240. 史开泉. 灰色信息关系论.

书籍章节

  1. Haiqing Hu, Haiyan Fu, Kaiquan Shi (2009). Singular Rough Sets Method in Attribute Generalization. Advances in soft computing.DOI
  2. Haiyan Fu, Kaiquan Shi, Chengyi Zhang (2009). S-Rough Sets and -Knowledge Hiding-Discovery. Advances in soft computing.DOI
  3. Hongkai Wang, Jinjiang Yao, Peijun Xue, Kaiquan Shi (2007). Rough Communication of Dynamic Concept. Springer eBooks.DOI

研究方向

数学非线性科学与系统科学自动化技术

此主页由公开资料整理，尚未经学者本人认领。