康兵义

基本信息

康兵义，男，博士，副教授，硕士研究生导师，IEEE会员。研究方向为多源信息融合与智能信息处理。作为项目负责人主持国家自然科学基金青年项目1项，中国博士后基金面上项目1项，西北农林科技大学博士科研启动基金1项。获陕西省科学技术二等奖、领跑者F5000等省部级奖励和荣誉。目前以第一作者或通讯作者在IEEE Transactions on Fuzzy Systems，Information Sciences，Knowledge-Based Systems，Applied Mathematics and Computation，电子学报等期刊公开发表30余篇学术论文，目前GOOGLE 学术引用1400余次。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

多源信息融合

多属性智能决策

不确定信息处理

智能信息处理

智能计算

开设课程

操作系统（本科生）

最优化技术与数学建模（研究生）

指导学生成果

2021年，美国大学生数学建模竞赛Honorable Mention奖，4项

2021年，校本科“百篇优秀毕业论文（设计），1篇

2021年，大学生创新创业训练计划项目（国家级），2项

2020年，美国大学生数学建模竞赛Meritorious Winner奖，1项

2020年，校本科“百篇优秀毕业论文（设计），1篇

2020年，第十届MathorCup高校数学建模挑战赛-三等奖，1项

2020年，大学生创新创业训练计划项目（国家级），2项

2019年，大学生创新创业训练计划项目（国家级），1项

科学研究

一、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] 陕西省专项项目（No.F2020221005）《面向信任函数理论的信息融合反欺骗机制研究》，2021年1月至2023年12月，主持。

[4] 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。

二、部分发表科研论文

目前以第一作者或通讯作者在IEEE Transactions on Fuzzy Systems，Information Sciences，Knowledge-Based Systems，Applied Mathematics and Computation，电子学报等期刊公开发表30余篇学术论文，其中中科院1区论文10篇，目前GOOGLE 学术引用1400余次。

2021年（第一作者或通讯作者*）

[1] Ye Tian, XiangjunMi, Huizi Cui, Pengdan Zhang, Bingyi Kang*, Using Z-number to measure the reliability of new information fusion method and its application in pattern recognition[J], Applied Soft Computing, Accept, 2021 (SCI index，中科院升级版1区)

[2] Lingge Zhou, Huizi Cui, Chongru Huang, Bingyi Kang*, Jianfeng Zhang*, Counter Deception in Belief Functions Using Shapley Value Methodology[J], International Journal of Fuzzy Systems, Accept, 2021 (SCI index，中科院3区)

[3] Chongru Hang, XiangjunMi, Bingyi Kang*, Basic probability assignment to Probability distribution function based on the Shapley value approach[J],International Journal of Intelligent Systems, Online, DOI:10.1002/int.22456, 2021 (SCI index，中科院1区，CCF C类)

[4] Yingfu Wu, Bingyi Kang*, Hao Wu*, Strategies of Attack-Defense Game for Wireless Sensor Networks Considering the Effect of Confidence Level in Fuzzy Environment[J], Engineering Applications of Artificial Intelligence, vol.102, pp. 104238, 2021 (SCI index，中科院2区，CCF C类)

[5] Ye Tian, XiangjunMi, Yunpeng Ji, Bingyi Kang*, Z^E-number: A new extended Z-number and its application on multiple attribute group decision making[J], Engineering Applications of Artificial Intelligence, vol.101, pp.104225, 2021 (SCI index，中科院2区，CCF C类)

[6] XiangjunMi, Ye Tian and Bingyi Kang*, MADA problem: A new scheme based on D numbers and aggregation functions[J], Journal of Intelligent & Fuzzy Systems, Online, DOI: 10.3233/JIFS-202413, 2021 (SCI index，中科院4区)

[7] Pengdan Zhang, Qing Liu and Bingyi Kang*, An improved OWA-Fuzzy AHP decision model for multi-attribute decision making problem[J], Journal of Intelligent & Fuzzy Systems,vol. 40, no. 5, pp. 9655-9668, 2021 (SCI index，中科院4区)

[8] XiangjunMi, Ye Tian and Bingyi Kang*, A hybrid multi-criteria decision making approach for assessing health-care waste management technologies based on soft likelihood function and D-numbers[J], Applied Intelligence,DOI: 10.1007/s10489-020-02148-7, Online, 2021 (SCI index，中科院3区，CCF C类)

[9] XiangjunMi, TongxuanLv, Ye Tian and Bingyi Kang*, Multi-sensor data fusion based on soft likelihood functions and OWA aggregation and its application in target recognition system [J], ISA Transactions, vol.112, pp. 137-149, 2021 (SCI index，中科院升级版1区)

2020年（第一作者或通讯作者*）

[10] XiangjunMi, and Bingyi Kang*, On the belief universal gravitation (BUG) [J], Computers & Industrial Engineering, vol. 148, pp. 106685, 2020 (SCI index，中科院2区)

[11] Ye Tian, XiangjunMi, Lili Liu and Bingyi Kang*,A new soft likelihood function based on D numbers in handling uncertain information [J], International Journal of Fuzzy Systems, vol. 22, no. 7, pp. 2333–2349, 2020 (SCI index，中科院3区)

[12] 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，中科院1区，TOP期刊，CCF B类)

[13] Ye Tian, Lili Liu, XiangjunMi 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，中科院1区，TOP期刊，CCF B类)

[14] Ye Tian and Bingyi Kang*, A modified method of generating Z-number based on OWA weights and maximum entropy [J], Soft Computing, vol. 24, pp. 15841–15852, 2020 (SCI index，中科院3区，CCF C类)

[15] XiangjunMi, 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，中科院2区)

[16] 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，中科院2区)

[17] 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，中科院2区)

[18] XiangjunMi, 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，中科院1区，TOP期刊，CCF C类)

[19] 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，中科院1区，TOP期刊，CCF C类)

[20] Bingyi Kang*, Pengdan Zhang, Zhenyu Gao, GyanChhipi-Shrestha, KasunHewage and RehanSadiq, 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，中科院3区)

2019年以前（第一作者或通讯作者*）

[21] Bingyi Kang, Yong Deng, The maximum Deng entropy[J], IEEE ACCESS, vol. 7, no. 1, pp. 120758-120765, 2019. (SCI index，中科院2区)

[22] 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，中科院2区，CCF C类)

[23] 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，中科院2区)

[24] Bingyi Kang, Yong Deng, KasunHewage, and RehanSadiq. A method of measuring uncertainty for Z-number[J]. IEEE Transactions on Fuzzy Systems.vol. 27, no. 4, pp. 731-738, 2019.(SCI index，中科院1区，TOP期刊，CCF B类)

[25] Bingyi Kang, GyanChhipi-Shrestha, Yong Deng, Julie Mori, KasunHewage, and RehanSadiq. 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，中科院2区)

[26] Bingyi Kang, GyanChhipi-Shrestha, Yong Deng, KasunHewage, and RehanSadiq. 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，中科院1区，TOP期刊)

[27] Bingyi Kang, Yong Deng, KasunHewage, and RehanSadiq. 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，中科院1区，TOP期刊，CCF C类)

[28] Bingyi Kang, Yong Deng, and RehanSadiq. Total utility of Z-number[J]. Applied Intelligence.vol. 48, no. 3, pp. 703-729, 2017. (SCI index，中科院3区，CCF C类)

[29] Bingyi Kang, Yong Deng, RehanSadiq, and SankaranMahadevan. Evidential cognitive maps[J]. Knowledge-Based Systems.vol. 35, pp. 77-86, 2012. (SCI index，中科院升级版1区，CCF C类)

[30] 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，CCF中文-A，F5000)

三、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)

个人主页

学院主页：

https://cie.nwsuaf.edu.cn/szdw/fjs/2018110062/index.htm

Google学术

https://scholar.google.ca/citations?user="VIEDOvoAAAAJ&hl=en

ResearchGate社区

https://www.researchgate.net/profile/Bingyi-Kang

联系方式

办公地址：信息工程学院108办公室

邮箱：bingyi.kang@nwsuaf.edu.cn