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中国计量大学理学院导师教师师资介绍简介-罗敏霞

本站小编 Free考研考试/2021-04-15

罗敏霞
sex
2
title
其他
department
理学院
college

college2

degree
博士
recruit":0,"firstDiscipline1
数学
secondaryDiscipline1

firstDiscipline2

secondaryDiscipline2

executive

officePhone

mobilePhone
**
emailAddress
mxluo@cjlu.edu.cn
businessAddress
格致中楼612
individualResume
罗敏霞,女,博士,教授,硕士研究生导师。西北工业大学计算机学院获工学博士; 陕西师范大学数学与信息科学学院获理学硕士学位;山西师范大学数学系获理学学士。担任中国人工智能学会人工智能基础专业委员会常务委员;中国逻辑学会非经典逻辑与计算专委会委员;国际信息研究学会中国分会人工智能专业委员会专家委员。主要研究方向为计算机科学中的非经典逻辑、模糊推理算法与图像处理等。先后在国际国内专业领域的期刊上发表论文120余篇,2篇ESI高被引论文,SCI/EI检索70余篇。主持国家自然科学面上项目2项,主持完成省级项目2项;参与多项国家自然科学基金项目。多篇论文获省自然科学优秀论文奖;作为主要成员参与的项目“泛逻辑学原理及其应用研究”分别获“陕西省教育厅高等学校科学技术一等奖”与“陕西省科学技术三等奖”。近年来,一直讲授本科生的《高等代数》、《近世代数》、研究生的《代数学》与《模糊逻辑》等课程。
researchTopic
主持国家自然科学基金面上项目《近似推理的区间值模型及其逻辑基础》,60万,批准号: **,执行时间: 2018.1-2021.12
awards
(1) 论文“Relationship between the quasi-ideal adequate transversals of an abundant semigroup”获“陕西省自然科学优秀学术论文三等奖”;\r(2) 参与的项目“泛逻辑学原理及其应用研究” 获“陕西省政府科学技术成果三等奖”;\r(3) 参与的项目“泛逻辑学原理及其应用研究” 获“陕西省高等学校科学技术成果一等奖”。
researchProject
(1) 主持完成国家自然科学基金项目“非可换逻辑证明论与模糊推理算法研究”(No.**)\r(2) 主持完成省自然科学基金项目“基于子结构模糊逻辑的希尔伯特系统的构建与模糊推理算法研究”(No.Y**)\r(3) 主持完成省级项目“泛逻辑在计算机中的应用”(No.**)
publications
近年发表的论著与论文:\r\r专著: 罗敏霞, 何华灿.《泛逻辑学语构理论》. 北京: 科学出版社.\r\r论文:\r1. Minxia Luo*, Lixian Wu, Li Fu. Robustness analysis of the interval-valued fuzzy inference algorithms, Intelligent & Fuzzy Systems, 2020, 38(1): 685-696.\r2. Minxia Luo*, Yajing Wang, Ruirui Zhao. Interval-valued fuzzy reasoning method based on similarity measure, Journal of Logical and Algebraic Methods in Programming, 2020, 113: Article 100541.\r3. Minxia Luo*, Yajing Wang. Interval-valued fuzzy reasoning full implication algorithms based on the t-representable t-norm, International Journal of Approximate Reasoning, 2020, 122:1-8.\r4. Minxia Luo*, Yue Zhang. A new similarity measure between interval-valued fuzzy sets and its application, Engineering Applications of Artificial Intelligence, 2020(96):103956 \r5. Minxia Luo*, Yue Zhang, Bei Liu. A new aggregation operator based on uninorms in L*-fuzzy set, International Journal of Computational Intelligence Systems,2020,13(1):1679-1686.\r6. Ruirui Zhao, Minxia Luo*, Shenggang Li. Reverse triple I method based on single valued neutrosophic fuzzy inference, Journal of Intelligent & Fuzzy Systems. 2020,39(5): 7071-7083. \r7. Minxia Luo, Huifeng Long. Picture Fuzzy Geometric aggregation operators based on a trapezoidal fuzzy number and its application. Symmetry. 2021, 13: 119.\r8. Ruirui Zhao, Minxia Luo, Shenggang Li. A dynamic distance measure of picture fuzzy sets and its application. Symmetry. 2021, 13: 436.\r9. Minxia Luo*, Ruirui Zhao, Bei Liu, Jingjing Liang. Interval-valued fuzzy reasoning algorithms based on Schweizer-Sklar t-norms and its application. Engineering Applications of Artificial Intelligence, 87 (2020) 103313.\r10. Minxia Luo*, Lixian Wu, Kaiyan zhou, Huarong Zhang. Multi-criteria Decision Making Method based on the Single Valued Neutrosophic Sets, Intelligent & Fuzzy Systems, 2019, 37(2), 2403-2417.\r11. Minxia Luo*, Jingjing Liang. A Novel Similarity Measure for Interval-Valued Intuitionistic Fuzzy Sets and Its Applications, Symmetry, 2018, (10)10: 1-13.\r12. Minxia Luo*, Kaiyan Zhou. Logical foundation of the quintuple implication inference methods, International Journal of Approximate Reasoning, 2018, 101:1-9. \r13. Minxia Luo*, Ruirui Zhao. A distance measure between intuitionistic fuzzy sets and its application in medical diagnosis, Artificial Intelligence in Medicine, 2018, 89, 34-39. \r14. Minxia Luo*, Ruirui Zhao. Fuzzy reasoning algorithms based on similarity. Journal of Intelligent & Fuzzy Systems, 2018, 34(1): 213-219.\r15. Minxia Luo*, Xiaoling Zhou. Interval-valued Quintuple Implication Principle of fuzzy reasoning. International Journal of Approximate Reasoning, 2017, 84: 23-32.\r16. Minxia Luo*, Bei Liu. Robustness of interval-valued fuzzy inference triple I algorithms based on normalized Minkowski distance. Journal of Logical and Algebraic Methods in Programming, 2017, 86(1): 298-307.\r17. Minxia Luo*, Ze Cheng. Robustness of Fuzzy Reasoning Based on Schweizer-Sklar Interval-valued t-norms, Fuzzy Information and Engineering, 2016, 8(2): 183-198. \r18. 罗敏霞*,王雅萍. 基于Schweizer-Sklar三角范数簇的反向三I算法的鲁棒性,电子学报, 2016, Vol. 44 (4): 959-966. \r19. Minxia Luo*, Yaping Wang. Robustness of Triple I Algorithms Based on Schweizer-Sklar Operators in Fuzzy Reasoning, International Journal of Advanced Computer Research, 2016, 6(22): 1-8.\r20. Minxia Luo*, Ze Cheng, Jiao Wu. Robustness of interval-valued universal triple I algorithms, Journal of Intelligent & Fuzzy Systems, 2016, 30(3): 1619-1628.\r21. Minxia Luo*, Xiaoling Zhou. Robustness of reverse triple I algorithms based on interval-valued fuzzy inference, International Journal of Approximate Reasoning, 2015, 66:16-26.\r22. Minxia Luo*, Kai Zhang. Robustness of full implication algorithms based on interval-valued fuzzy inference, International Journal of Approximate Reasoning, 2015, 62: 61-72. \r23. Kai Zhang, Minxia Luo*. Outlier-robust extreme learning machine for regression problems, Neurocomputing, 2015, 151(3): 1519-1527.\r24. Minxia Luo*, Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification, Engineering Applications of Artificial Intelligence, 2014, 27: 228-235. \r25. Kai Zhang, Minxia Luo. Similarity based Sparse Representation for Classification, Journal of Computational Information Systems, 2013, 9(24): 9865-9873. \r26. Minxia Luo*, Ning Yao. Triple I Algorithms Based on Schweizer-Sklar Operators in Fuzzy Reasoning, International Journal of Approximate Reasoning,2013,54:640-652.\r27. Minxia Luo, Ni Sang, Kai Zhang. Differently Implicational Universal Triple I Algorithms of (1,2,1) Type. Journal of Computational Information Systems, 2013,9(4): 374-382.\r28. Minxia Luo*, Ni Sang, Kai Zhang. The Formal Triple I Inference Method for Logic System W*UL. Journal of Theoretical and Applied Information Technology, 2013, 48(1): 403-410. \r29. Minxia Luo*, Ni Sang, Kai Zhang. Differently Implicational Universal Triple I Algorithms of (1,2,1) Type. Journal of Computational Information Systems, 2013,9(2): 765-772.
others
毕业的硕士研究生去向是攻读博士学位,从事银行及IT行业,大学老师及中学老师。
correlation
researchDirection1
模糊逻辑与近似推理
researchDirection2
多属性决策
researchDirection3
模式识别/医疗诊断
researchDirection4
人工智能基础理论
相关话题/中国计量大学 理学院