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姓 名:康兵义

职 称:讲师

办公室:108

电 话:

邮 箱:bingyi.kang@nwsuaf.edu.cn

 

基本信息

康兵义,男,河南信阳人,2016 年9 月至2017 年9 月赴英属哥伦比亚大学公派联合培养。2018 年6 月毕业于西南大学数学(智能计算与复杂系统)专业,获理学博士学位。2018 年7 月入职西北农林科技大学信息工程学院,讲师。研究方向为信息融合与智能信息处理,目前以第一作者在IEEE Transactions on Fuzzy Systems,Knowledge-Based Systems,Applied Mathematics and Computation,Applied Intelligence, Stochastic Environmental Research and Risk Assessment,电子学报等期刊公开发表多篇学术论文,目前GOOGLE 学术引用1000余次。获陕西省科学技术二等奖等多项省部级奖励,受邀担任IEEE Transactions on Fuzzy Systems,Information Sciences,International Journal of Approximate Reasoning, Robotics and Autonomous Systems,Computers & Industrial Engineering 等多个期刊审稿人。

 

研究方向

信息融合

多属性决策

不确定信息处理

智能信息处理

 

开设课程
操作系统(本科生)、最优化技术与数学建模(研究生)

 

学术成果

一、已获得奖励
2018年2月获陕西省科学技术奖(二等,排名:8)(陕西省人民政府)
2017年10月获领跑者 F5000-中国精品科技期刊顶尖学术论文(中国科学技术信息研究所)
2016年5月获国家公派留学奖学金(国家留学基金委)
2012年12月获第九届全国研究生数学建模竞赛三等奖(全国研究生数学建模竞赛委员会)
2012年11月获国家研究生奖学金(中华人民共和国教育部)
2011年12月获第八届全国研究生数学建模竞赛三等奖(全国研究生数学建模竞赛委员会)

 

二、部分发表科研论文(第一作者或通讯作者*)

[1] Xiangjun Mi, and Bingyi Kang*, On the belief universal gravitation (BUG) [J], Computers & Industrial Engineering, accept, 2020 (SCI index)

[2] Ye Tian, Xiangjun Mi, Lili Liu and Bingyi Kang*, A new soft likelihood function based on D numbers in handling uncertain information [J], International Journal of Fuzzy Systems, doi: 10.1007/s40815-020-00911-z,accept, 2020 (SCI index)

[3] Qing Liu, Huizi Cui, Ye Tian and Bingyi Kang*, On the Negation of discrete Z-numbers [J], Information Sciences, vol. 537, pp. 18-29, 2020 (SCI index)

[4] Ye Tian, Lili Liu, Xiangjun Mi and Bingyi Kang*, ZSLF : A new soft likelihood function based on Z-numbers and its application in expert decision system [J], IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2020.2997328, online, 2020 (SCI index)

[5] Ye Tian and Bingyi Kang*, A modified method of generating Z-number based on OWA weights and maximum entropy [J], Soft Computing, doi: 10.1007/s00500-020-04914-8 , Online, 2020 (SCI index)

[6] Xiangjun Mi, and Bingyi Kang*, A modified approach to conflict management from the perspective of non-conflicting element set[J], IEEE ACCESS, vol. 8, pp.  73111-73126, 2020 (SCI index)

[7] Ruonan Zhu, Jiaqi Chen and Bingyi Kang*, Power Law and Dimension of the Maximum Value for Belief Distribution With the Maximum Deng Entropy [J], IEEE ACCESS, vol. 8, pp. 47713 – 47719, 2020  (SCI index)

[8] Pengdan Zhang, Ye Tian and Bingyi Kang*, A New Synthesis Combination Rule Based on Evidential Correlation Coefficient [J], IEEE ACCESS, vol. 8, pp. 39898 – 39906, 2020 (SCI index)

[9] Xiangjun Mi, Ye Tian and Bingyi Kang*, A modified soft‐likelihood function based on POWA operator [J], International Journal of Intelligent Systems, vol. 35, no. 5, pp. 869-890, 2020 (SCI index)

[10] Jing Zhang, Ruqin Liu, Jianfeng Zhang and Bingyi Kang*, Extension of Yager's Negation of a Probability Distribution Based on Tsallis Entropy[J], International Journal of Intelligent Systems, vol. 35, no. 1, pp. 72-84, 2020 (SCI index)

[11] Bingyi Kang*, Pengdan Zhang, Zhenyu Gao, Gyan  Chhipi-Shrestha, Kasun Hewage and Rehan Sadiq, Environmental assessment under uncertainty using Dempster–Shafer theory and Z-numbers[J], Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 5, pp. 2041-2060, 2020. (SCI index)

[12] Bingyi Kang, Yong Deng, The maximum Deng entropy[J], IEEE ACCESS, vol. 7, no. 1, pp. 120758-120765, 2019. (SCI index)

[13] Qing Liu, Ye Tian and Bingyi Kang*, Derive knowledge of Z-number from the perspective of Dempster-Shafer evidence theory [J], Engineering Applications of Artificial Intelligence, vol. 85, pp. 754-764, 2019. (SCI index)

[14] Huizi Cui, Qing Liu, Jianfeng Zhang and Bingyi Kang*, An improved Deng entropy and its application in pattern recognition[J], IEEE Access, 2019, 7: 18284-18292. (SCI index)

[15] Bingyi Kang, Yong Deng, Kasun Hewage, and Rehan Sadiq. A method of measuring uncertainty for Z-number[J]. IEEE Transactions on Fuzzy Systems. vol. 27, no. 4, pp. 731-738, 2019.  (SCI index)

[16] Bingyi Kang, Gyan Chhipi-Shrestha, Yong Deng, Julie Mori, Kasun Hewage, and Rehan Sadiq. Development of a predictive model for Clostridium difficile infection incidence in hospitals using Gaussian mixture model and Dempster–Shafer theory[J]. Stochastic Environmental Research and Risk Assessment. vol. 32, no. 6, pp. 1743-1758, 2018. (SCI index)

[17] Bingyi Kang, Gyan Chhipi-Shrestha, Yong Deng, Kasun Hewage, and Rehan Sadiq. Stable strategies analysis based on the utility of Z-number in the evolutionary games[J]. Applied Mathematics and Computation. vol. 324, pp. 202-217, 2018. (SCI index)

[18] Bingyi Kang, Yong Deng, Kasun Hewage, and Rehan Sadiq. Generating Z‐number based on OWA weights using maximum entropy[J]. International Journal of Intelligent Systems. vol. 33, no. 8, pp. 1745-1755, 2018. (SCI index)

[19] Bingyi Kang, Yong Deng, and Rehan Sadiq. Total utility of Z-number[J]. Applied Intelligence. vol. 48, no. 3, pp. 703-729, 2017. (SCI index)

[20] Bingyi Kang, Yong Hu, Yong Deng, and Deyun Zhou. A new methodology of multicriteria decision-making in supplier selection based on Z-numbers[J]. Mathematical Problems in Engineering. vol. 2016, pp. 1-17, 2016. (SCI index)

[21] Bingyi Kang, Yong Deng, Rehan Sadiq, and Sankaran Mahadevan. Evidential cognitive maps[J]. Knowledge-Based Systems. vol. 35, pp. 77-86, 2012. (SCI index)

[22] 康兵义, 李娅, 邓勇, 张雅娟, 邓鑫洋. 基于区间数的基本概率指派生成方法及应用[J]. 电子学报. vol. 40, no. 6, pp. 1092-1096,2012. (EI index)


三、已主持科研项目

[1] 国家自然科学基金青年项目(No. 61903307),《基于信度函数理论的Z-数不确定信息融合研究》,2020年1月至2022年12月,主持。

[2] 中国博士后科学基金资助项目(No. 2020M683575),《基于信度函数理论的混合不确定信息融合研究》,2020年11月至2022年6月,主持。

[3] 西北农林科技大学科研启动基金(No. Z109021812),《基于模糊认知图的关联证据融合研究》,2018 年 7 月至 2020 年6月,主持。


 

 

在读学生

长期招收科研助手。我们的团队与电子科技大学、西北工业大学、西安交通大学,加拿大英属哥伦比亚大学的同行建立了良好的合作关系。对信息融合、不确定信息处理、智能计算方向感兴趣,并想毕业保研和出国全奖博士的同学,欢迎加入我们的研究团队!

邮件联系:bingyi.kang@nwsuaf.edu.cn

 

毕业学生
 

 

Name:Bingyi Kang

Professional Title:Lecturer

Office:108

Tel:

Email:bingyi.kang@nwsuaf.edu.cn

 

Personal Information

  Dr. Bingyi Kang is now a Lecturer of College of Informaiton Engineering of Northwest A&F University, Yangling, Shaanxi, China. He obtained his Ph.D at Southwest University, Chongqing, China, in 2018. He was also a Visiting International Research Student (Joint Ph.D student sponsored by CSC) at the University of British Columbia (Okanagan Campus) in 2016. His research interest includes information fusion, intelligence information processing. Dr. Kang has published several papers in the journals such as IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems,Applied Mathematics and Computation,Applied Intelligence,Stochastic Environmental Research and Risk Assessment. He has been invited as a reviewer for the journals, e.g. IEEE Transactions on Fuzzy Systems, Information Sciences, International Journal of Approximate Reasoning, Robotics and Autonomous Systems, Computers & Industrial Engineering.

 

Research Directions

Information fusion

MCDM

Intelligence information processing

 

Curriculum

Operating System (undergraduate)

Optimization Techniques and Mathematical Modeling (postgraduate)

 

Academic Achievement

Selected Publications:

[1] Xiangjun Mi, and Bingyi Kang*, On the belief universal gravitation (BUG) [J], Computers & Industrial Engineering, accept, 2020 (SCI index)

[2] Ye Tian, Xiangjun Mi, Lili Liu and Bingyi Kang*, A new soft likelihood function based on D numbers in handling uncertain information [J], International Journal of Fuzzy Systems, doi: 10.1007/s40815-020-00911-z, accept, 2020 (SCI index)

[3] Qing Liu, Huizi Cui, Ye Tian and Bingyi Kang*, On the Negation of discrete Z-numbers [J], Information Sciences, vol. 537, pp. 18-29, 2020 (SCI index)

[4] Ye Tian, Lili Liu, Xiangjun Mi and Bingyi Kang*, ZSLF : A new soft likelihood function based on Z-numbers and its application in expert decision system [J], IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2020.2997328, online, 2020 (SCI index)

[5] Ye Tian and Bingyi Kang*, A modified method of generating Z-number based on OWA weights and maximum entropy [J], Soft Computing, doi: 10.1007/s00500-020-04914-8 , Online, 2020 (SCI index)

[6] Xiangjun Mi, and Bingyi Kang*, A modified approach to conflict management from the perspective of non-conflicting element set[J], IEEE ACCESS, vol. 8, pp.  73111-73126, 2020 (SCI index)

[7] Ruonan Zhu, Jiaqi Chen and Bingyi Kang*, Power Law and Dimension of the Maximum Value for Belief Distribution With the Maximum Deng Entropy [J], IEEE ACCESS, vol. 8, pp. 47713 – 47719, 2020  (SCI index)

[8] Pengdan Zhang, Ye Tian and Bingyi Kang*, A New Synthesis Combination Rule Based on Evidential Correlation Coefficient [J], IEEE ACCESS, vol. 8, pp. 39898 – 39906, 2020 (SCI index)

[9] Xiangjun Mi, Ye Tian and Bingyi Kang*, A modified soft‐likelihood function based on POWA operator [J], International Journal of Intelligent Systems, vol. 35, no. 5, pp. 869-890, 2020 (SCI index)

[10] Jing Zhang, Ruqin Liu, Jianfeng Zhang and Bingyi Kang*, Extension of Yager's Negation of a Probability Distribution Based on Tsallis Entropy[J], International Journal of Intelligent Systems, vol. 35, no. 1, pp. 72-84, 2020 (SCI index)

[11] Bingyi Kang*, Pengdan Zhang, Zhenyu Gao, Gyan  Chhipi-Shrestha, Kasun Hewage and Rehan Sadiq, Environmental assessment under uncertainty using Dempster–Shafer theory and Z-numbers[J], Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 5, pp. 2041-2060, 2020. (SCI index)

[12] Bingyi Kang, Yong Deng, The maximum Deng entropy[J], IEEE ACCESS, vol. 7, no. 1, pp. 120758-120765, 2019. (SCI index)

[13] Qing Liu, Ye Tian and Bingyi Kang*, Derive knowledge of Z-number from the perspective of Dempster-Shafer evidence theory [J], Engineering Applications of Artificial Intelligence, vol. 85, pp. 754-764, 2019. (SCI index)

[14] Huizi Cui, Qing Liu, Jianfeng Zhang and Bingyi Kang*, An improved Deng entropy and its application in pattern recognition[J], IEEE Access, 2019, 7: 18284-18292. (SCI index)

[15] Bingyi Kang, Yong Deng, Kasun Hewage, and Rehan Sadiq. A method of measuring uncertainty for Z-number[J]. IEEE Transactions on Fuzzy Systems. vol. 27, no. 4, pp. 731-738, 2019.  (SCI index)

[16] Bingyi Kang, Gyan Chhipi-Shrestha, Yong Deng, Julie Mori, Kasun Hewage, and Rehan Sadiq. Development of a predictive model for Clostridium difficile infection incidence in hospitals using Gaussian mixture model and Dempster–Shafer theory[J]. Stochastic Environmental Research and Risk Assessment. vol. 32, no. 6, pp. 1743-1758, 2018. (SCI index)

[17] Bingyi Kang, Gyan Chhipi-Shrestha, Yong Deng, Kasun Hewage, and Rehan Sadiq. Stable strategies analysis based on the utility of Z-number in the evolutionary games[J]. Applied Mathematics and Computation. vol. 324, pp. 202-217, 2018. (SCI index)

[18] Bingyi Kang, Yong Deng, Kasun Hewage, and Rehan Sadiq. Generating Z‐number based on OWA weights using maximum entropy[J]. International Journal of Intelligent Systems. vol. 33, no. 8, pp. 1745-1755, 2018. (SCI index)

[19] Bingyi Kang, Yong Deng, and Rehan Sadiq. Total utility of Z-number[J]. Applied Intelligence. vol. 48, no. 3, pp. 703-729, 2017. (SCI index)

[20] Bingyi Kang, Yong Hu, Yong Deng, and Deyun Zhou. A new methodology of multicriteria decision-making in supplier selection based on Z-numbers[J]. Mathematical Problems in Engineering. vol. 2016, pp. 1-17, 2016. (SCI index)

[21] Bingyi Kang, Yong Deng, Rehan Sadiq, and Sankaran Mahadevan. Evidential cognitive maps[J]. Knowledge-Based Systems. vol. 35, pp. 77-86, 2012. (SCI index)

[22] Bingyi Kang , Ya Li, Yong Deng, et al. Determination of Basic Probability Assignment Based on Interval Numbers and Its Application[J]. Acta Electronica Sinica. vol. 40, no. 6, pp. 1092-1096,2012. (EI index)



 

 

Current Undergraduate
 

 

Graduated Student