王超

1. 管理科學與工程 2. 應用統計（專業學位） ^[1] 

1、不確定統計學習理論及其數學基礎——理論研究與教學實踐，河北省優秀教2學成果獎勵委員會,河北省優秀教學成果獎，一等獎，第二

2、不確定統計學習理論及其在管理預測與決策中的應用，河北省社會科學優秀成果獎勵委員會，河北省社會科學優秀成果獎,二等獎，第二

3、基於統計學習理論的安全第一投資組合選擇，河北省社會科學優秀成果獎勵委員會，河北省社會科學優秀成果獎,二等獎，第三

1、《不確定統計學習理論》.北京:科學出版社, 2011

2、The theoretical foundations of statistical learning theory based on fuzzy random samples in Sugeno measure space. Transactions of the Institute of Measurement and Control, 34(5): 520-526, 2012(SCI)

3、The support vector machine based on intuitionistic fuzzy number and kernel function. Soft Computing, 17(4): 635-641, 2013(SCI)

4、Support vector machine based on random set samples. International Journal of Uncertainty、Fuzziness and Knowledge-Based Systems, 21: 101-112, 2013(SCI)

5、A novel approach to interval-valued intuitionistic fuzzy soft set based decision making. Applied Mathematical Modelling, 38(4): 1255-1270，2014 (SCI)

6、Induced generalized hesitant fuzzy operators and their application to multiple attribute group decision making.Computers & Industrial Engineering,67: 116-138, 2014. (SCI)

7、Multi-criteria group decision making with incomplete hesitant fuzzy preference relationships, Applied Soft Computing, 40: 439-440, 2015(SCI)

8、A mathematical model of ternary fuzzy set for voting. Journal of Intelligent & Fuzzy Systems, 29: 2381-2386, 2015 (SCI)

9、Pan uncertain measure, Advances in Intelligent Systems and Computing, 443: 89-97, 2016 (EI)

10、A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information. Journal of Ambient Intelligence and Humanized Computing, 2018, 1-17(SCI)

11、Credibility support vector machines based on fuzzy outputs. Soft Computing, 2018, 22(6): 5429–5437|. (SCI)

1. 基於不確定輸出樣本的支持向量機，青年學術骨幹項目，1萬，主持

2. 基於廣義模糊輸出的支持向量機，河北省自然科學基金，4萬，201501-201712,主持

3. 泛不確定測度空間上的統計學習理論基礎研究，國家自然科學基金，3萬，201701-201712, 主持

4. 基於核技術的支持模糊分佈機研究, 河北省高等學校科學技術研究項目青年拔尖人才項目, 8萬, 201701-201912, 主持 ^[1]