研究方向
信息融合
多屬性決策
不確定信息處理
智慧型信息處理
開設課程
作業系統(本科生)
最最佳化技術與數學建模(研究生)
學術成果
一、部分發表科研論文(第一作者或通訊作者*)
[1] Chongru Hang, Xiangjun Mi, Bingyi Kang*, Basic probability assignment to Probability distribution function based on the Shapley value approach[J], International Journal of Intelligent Systems, DOI: 10.1002/int.22456, 2021 (SCI index)
[2] 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, Online, DOI: 10.1016/j.engappai.2021.104238, 2021 (SCI index)
[3] Ye Tian, Xiangjun Mi, 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)
[4] Xiangjun Mi, 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)
[5] 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, DOI: 10.3233/JIFS-202168,Online, 2021 (SCI index)
[6] Xiangjun Mi, 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)
[7] Xiangjun Mi, Tongxuan Lv, 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, Online, DOI:10.1016/j.isatra.2020.12.009, 2020 (SCI index)
[8] Xiangjun Mi, and Bingyi Kang*, On the belief universal gravitation (BUG) [J], Computers & Industrial Engineering, vol. 148, pp. 106685, 2020 (SCI index)
[9] 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, vol. 22, no. 7, pp. 2333–2349, 2020 (SCI index)
[10] 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)
[11] 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)
[12] 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)
[13] 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)
[14] 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)
[15] 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)
[16] 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)
[17] 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)
[18] 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)
[19] Bingyi Kang, Yong Deng, The maximum Deng entropy[J], IEEE ACCESS, vol. 7, no. 1, pp. 120758-120765, 2019. (SCI index)
[20] 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)
[21] 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)
[22] 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)
[23] 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)
[24] 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)
[25] 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)
[26] 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)
[27] 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)
[28] Bingyi Kang, Yong Deng, Rehan Sadiq, and Sankaran Mahadevan. Evidential cognitive maps[J]. Knowledge-Based Systems. vol. 35, pp. 77-86, 2012. (SCI index)
[29] 康兵義, 李婭, 鄧勇, 張雅娟, 鄧鑫洋. 基於區間數的基本機率指派生成方法及套用[J]. 電子學報. vol. 40, no. 6, pp. 1092-1096,2012. (EI index)
獲獎記錄
2018年2月獲陝西省科學技術獎(二等,排名:8)(陝西省人民政府)
2017年10月獲領跑者 F5000-中國精品科技期刊頂尖學術論文(中國科學技術信息研究所)
科研項目
[1] 國家自然科學基金青年項目(No. 61903307),主持。
[2] 中國博士後科學基金資助面上項目(No. 2020M683575)主持。
[3] 陝西省專項項目(No.F2020221005),主持。
[4] 西北農林科技大學科研啟動基金(No.2452018066),主持。