日本熊本大学工学博士

主持重庆市留创计划创新类资助1项，教育部中央高校基本科研业务费项目2项，西南大学博士基金1项，西南大学教改项目1项。 主持：重庆市留创计划创新类项目(cx2018077)，教育部中央高校基本科研业务费项目(XDJK2019C085, XDJK2015C107)，西南大学博士基金项目(SWU115008)，西南大学教育教学改革研究项目(2015JY030)。 参研：国家自然科学基金项目(6197022147)，国家自然科学基金青年项目(61702427, 61702426)，重庆市国际科技合作计划重点项目资助(cstc2015gjhz0007)，重庆市决策咨询与管理创新(重点)专项(cstc2015jccxB0054)。

至今在Information Fusion, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems等国内外知名刊物上发表学术论文40余篇，其中SCI检索40篇，EI检索6篇，1篇国际会议论文获“Excellent Student Award” 部分发表科研论文 [1]Xiao, F.*, Multi-Sensor Data Fusion based on the Belief Divergence Measure of Evidences and the Belief Entropy, Information Fusion, 2019, 46(2019): 23-32. (IF= 10.716, JCR Q1) [2]Xiao, F.*, EFMCDM: Evidential Fuzzy Multicriteria Decision Making based on Belief Entropy, IEEE Transactions on Fuzzy Systems, 2019, 1-15. (IF= 8.759, JCR Q1) [3]Xiao, F.*, Ding, W., Divergence Measure of Pythagorean Fuzzy Sets and its Application in Medical Diagnosis, Applied Soft Computing, 2019, 79: 254-267. (IF= 4.873, JCR Q1) [4]Liu, Z., Xiao, F.*, et al., A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 1-12. (IF= 7.351, JCR Q1) [5]Xiao, F.*, A Multiple Criteria Decision-Making Method based on D numbers and Belief Entropy, International Journal of Fuzzy Systems, 2019. (IF= 3.085, JCR Q1) [6]Liu, Z., Xiao, F.*, An Interval-Valued Exceedance Method in MCDM with Uncertain Satisfactions, International Journal of Intelligent Systems, 2019, 34: 2676-2691. (IF= 7.229, JCR Q1) [7]Xiao, F.*, A Novel Multi-Criteria Decision Making Method for Assessing Health-Care Waste Treatment Technologies based on D Numbers, Engineering Applications of Artificial Intelligence, 2018, 71(2018): 216-225. (IF= 3.526, JCR Q1) [8]Xiao, F.*, A Hybrid Fuzzy Soft Sets Decision Making Method in Medical Diagnosis, IEEE Access, 2018, 6: 25300-25312. (IF= 4.098, JCR Q1) [9]Xiao, F.*, An Improved Method for Combining Conflicting Evidences based on the Similarity Measure and Belief Function Entropy, International Journal of Fuzzy Systems, 2018, 20(4): 1256-1266. (IF= 3.085, JCR Q1) [10]Qin, B., Xiao, F.*, A Non-Parametric Method to Determine Basic Probability Assignment based on Kernel Density Estimation, IEEE Access, 2018, 6: 73509-73519. (IF= 4.098, JCR Q1) [11]Xiao, F.*, Aritsugi M., An Adaptive Parallel Processing Strategy for Complex Event Processing Systems over Data Streams in Wireless Sensor Networks, Sensors, 2018, 18(11): 1-15. (IF= 3.031, JCR Q1) [12]Xiao, F.*, Zhan C., Lai H., Tao L., and Qu Z., New Parallel Processing Strategies in Complex Event Processing Systems with Data Streams, International Journal of Distributed Sensor Networks, 2017, 13(8): 1-15. (IF= 1.787, JCR Q2) [13]Xiao, F.*, A Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis, Sensors, 2017, 17(11): 1-20. (IF= 2.475, JCR Q2) [14]Xiao, F.*, Aritsugi M., et al., Efficient Processing of Multiple Nested Event Pattern Queries over Multi-dimensional Event Streams based on A Triaxial Hierarchical Model, Artificial Intelligence in Medicine, 2016, (72): 56-71. (IF= 2.009, JCR Q1) [15]Xiao, F., Aritsugi M., Nested Pattern Queries Processing Optimization over Multi-Dimensional Event Streams, The 37th Annual IEEE Computer Software and Applications Conference, Japan, 2013: 74-83. (CCF C) [16]Xiao, F., Kitasuka T., Aritsugi M., Economical and Fault-Tolerant Load Balancing in Distributed Stream Processing Systems, IEICE Transactions on Information and Systems, 2012, E95D(4): 1062-1073.