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哈明虎導師信息
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哈明虎,男,回族,196311月生,河北肅寧人,哈爾濱工業大學數學系基礎數學專業畢業,研究生學歷,博士學位,哈爾濱建筑大學一般力學博士后,哈爾濱工業大學管理科學與工程博士后,中共黨員,教授,博士生導師,“新世紀百千萬人才工程”國家級人選,省管優秀專家,享受國務院政府特殊津貼?,F任河北工程大學黨委書記,河北省第十三屆人民代表大會常務委員會委員、民族僑務外事委員會副主任委員,兼任中國工業與應用數學學會常務理事、中國系統工程學會模糊數學與模糊系統委員會副理事長、中國運籌學會不確定系統分會副理事長、河北省工業與應用數學學會理事長、國際學術期刊《Journal of Uncertainty Analysis and Applications》創刊主編、《模糊系統與數學》編委。目前主要研究領域為:統計學習理論與支持向量機、算子理論、不確定信息處理與決策、水資源優化與管理等。

一、主要招生領域

1. 管理科學與工程      2. 應用統計(專業學位)

二、科研成果(2011年以來)

() 科研項目

1.河北省自然科學基金, 基于三類不確定樣本的支持向量機及其應用(F2012402037),5萬元, 201201-201412,主持.

2.河北省社會科學基金, 基于統計學習理論的安全第一投資組合選擇(HB15GL119),1萬元, 201507-201706,主持.

3.河北省應用基礎研究計劃重點基礎研究項目, 河北工程大學博士學位點建設項目, 100萬元,201601-201612, 主持.

()獲獎情況

1.哈明虎, 王超, 張植明, 田大增, 楊蘭珍. 不確定統計學習理論及其數學基礎理論研究與教學實踐. 河北省教學成果獎一等獎.  2013.

2.哈明虎, 王超, 張植明, 陳繼強. 不確定統計學習理論及其在管理預測與決策中的應用. 第十三屆河北省社會科學優秀成果獎(2010-2011)二等獎. 2012.

3.哈明虎, 楊楊, 王超. 基于統計學習理論的安全第一投資組合選擇. 第十六屆河北省社科優秀成果獎二等獎. 2018.

()論著

1.邢紅杰, 哈明虎. 前饋神經網絡及其應用, 北京: 科學出版社, 2013.

2.哈明虎, . 基于統計學習理論的安全第一投資組合選擇. 北京: 科學出版社, 2016.

3.田景峰, 哈明虎. Hölder不等式及其應用. 北京: 清華大學出版社, 2017.

4.高紅云,王超,哈明虎. 直覺模糊層次分析法. 河北工程大學學報(自然科學版),2011,28(4):101-105.

5.Ha Minghu, ChenJiqiang, Pedrycz Witold, Sun Lu. Bounds on the rate of convergence of learningprocesses based on random sets and set-valued probability. Kybernetes,2011, 40(9/10): 1459-1485. (SCI)  

6.Zhang Hong, Ha Minghu, Xing Hongjie.Chance-constrained programming on sugeno measure space. Expert Systems withApplications, 2011, 38(9):11527-11533. (SCI)

7.Ha Minghu, HuangJiaying, Yang Yang, Wang Chao. Support vector machine based on type-2 fuzzytraining samples. Industrial Engineering & Management Systems, 2012,11(1): 26-29. (國際刊物)

8.Ha Minghu, WangChao, Pedrycz Witold. The theoretical foundations of statistical learningtheory based on fuzzy random samples in Sugeno measure space. Transactionsof the Institute of Measurement and Control, 2012, 34(5): 520-526.(SCI)

9.Ha Minghu, WangChao, Chen Jiqiang. The support vector machine based on intuitionistic fuzzynumber and kernel function. Soft Computing, 2013, 17(4): 635-641.(SCI)

10.Ha Minghu, YangYang, Wang Chao. A new support vector machine based on type-2 fuzzy samples. SoftComputing, 2013, 17(11): 2065-2074.(SCI)

11.Wang Chao, Ha Minghu(通訊作者), Chen Jiqiang, Xing Hongjie. Support vector machine based on randomset samples. International Journal of Uncertainty, Fuzziness andKnowledge-Based Systems, 2013, 21: 101-112.(SCI)

12.Wang Xiaosheng, Ha Minghu. Quadraticentropy of uncertain sets.  Fuzzy Optimization and Decision Making,2013, 12(1): 99-109.(SCI)

13.Chen Jiqiang, Xue Xiaoping, Ha Minghu, YuDaren, Ma Litao. Support vector regression method for wind speed predictionincorporating probability prior knowledge.Mathematical Problems in Engineering, 2014, 1-10.(SCI)

14.Chen Jiqiang, Ma Litao, Wang Chao, Zhang Hong, Minghu Ha(通訊作者). Comprehensive evaluation model forcoal mine safety based on uncertain random variables. Safety Science, 2014, 68: 146-152. (SCI)

15.楊揚, 哈明虎. 基于小樣本的安全第一投資組合優化模型. 河北大學學報(哲學社會科學版), 2015, 40(1): 116-119. (中文核心)

16.Wang Chao, Ha Minghu, Liu Xiaowei, A mathematicalmodel of ternary fuzzy set for voting. Journal of Intelligent & FuzzySystems, 2015, 29: 2381-2386. (SCI)

17.Chen Jiqiang, Pedrycz Witold, Minghu Ha(通訊作者), Litao Ma. Set-valued samples based support vector regression andits applications. Expert Systems with Applications,2015, 42(5): 2502-2509. (SCI)

18.Tian Jingfeng, MinghuHa(通訊作者). Some new properties of generalized Hölder'sinequalities. Journal of Nonlinear Sciences and Applications, 2016, 9(6): 3638-3646. (SCI)

19.Ha Minghu, GaoZhichao, Wang Xiaosheng. Managing water supply risk through an option contractin uncertain environment. Journal of Uncertain Systems, 2016, 10(2):114-123. (國際期刊)

20.Gao Zhichao, Wang Xiaosheng, Ha Minghu,Multi-asset option pricing in an uncertain financial market with jump risk. Journalof Uncertainty Analysis and Applications, 2016, 4: 1-11. (國際期刊)

21.Ha Minghu,Gao Zhichao. Optimization of water allocation decisions under uncertainty: thecase of option contracts. Journal of Ambient Intelligence & HumanizedComputing, 2017, 8(5): 809818.(SCI)

22.Chen Jiqiang, Hu Qinghua, Xue Xiaoping, HaMinghu, Ma Litao. Support function machine for set-based classificationwith application to water quality evaluation. Information Sciences,2017, 388: 48-61. (SCI)

23.Tian Jingfeng, MinghuHa(通訊作者). Properties of generalized sharp Hölders inequalities. Journal ofMathematical Inequalities, 2017, 11(2): 511-525. (SCI 高被引論文)

24.Tian Jingfeng, MinghuHa(通訊作者). Extensions of Hölder-typeinequalities on time scales and their applications. Journal of NonlinearSciences and Applications, 2017, 11 (3): 937-953. (SCI)

25.張鴻, 馬麗濤, 哈明虎(通訊作者). 基于gλ變量的冗余優化模型. 模糊系統與數學, 2017(1):128-135. (中文核心)

26.Zhang Hong, Minghu Ha(通訊作者), Zhao Honghu, et al. Inexact multistage stochastic chance constrainedprogramming model for water resources management under uncertainties. ScientificProgramming, 2017, 1-14. (SCI)

27.Tian Jingfeng, MinghuHa(通訊作者). Extensions of Holder's inequality viapseudo-integral. Mathematical Problems in Engineering, 2018, 1-5 (SCI)

28.Tian Jingfeng, MinghuHa(通訊作者), Chao Wang. Improvements ofgeneralized Hölder's inequalities and their applications. Journal ofMathematical Inequalities, 2018, 12(2): 459--471. (SCI)

29.Tian Jingfeng, MinghuHa(通訊作者). Properties and refinements ofAczel-type inequalities.Journalof Mathematical Inequalities, 2018, 12(1): 175-189.(SCI, 高被引)

30.Gao Zhichao, Zhang Hong, Ha Minghu (通訊作者). Optimization of water resource management using chooser option contractsunder uncertainty. American Journal of Industrial and Business Management,2018, 8: 1308-1326. (國際期刊)

31.Wang Chao, Liu Xiaowei, Ha Minghu(通訊作者), Ting Zhao. Credibility support vector machines based on fuzzyoutputs. Soft Computing, 2018, 22(6): 54295437. (SCI)

32.Chen Jiqiang, Xue Xiaoping, Ha Minghu, MaLitao. Separability of set-valued data sets and existence of supporthyperplanes in the support function machine. Information Sciences, 2018,430/431: 432-443. (SCI)

33.Tian Jingfeng, Minghu Ha(通訊作者). An additive consistency and consensus-based approach for uncertaingroup decision-making with linguistic preference relations. IEEETransactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2018.2865132 (SCI一區,TOP期刊)

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