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ORCIDDeqiang Han
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- affiliation: Xi'an Jiaotong University, Xi'an, Shannxi, China
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2020 – today
- 2024
[j25]Shixing Zhang
, Deqiang Han, Jean Dezert, Yi Yang:
Weighted Self-Paced Learning with Belief Functions. Expert Syst. Appl. 255: 124535 (2024)- [j24]Meng Zhang, Yi Yang, Sixian Zhang, Pengbo Mi, Deqiang Han:
Spectral-Spatial Center-Aware Bottleneck Transformer for Hyperspectral Image Classification. Remote. Sens. 16(12): 2152 (2024) - [c70]Wei Li, Deqiang Han, Jean Dezert, Yi Yang:
Multimodal Coordinated Representation Learning Based on Evidence Theory. FUSION 2024: 1-6 - [c69]Siyuan Li, Deqiang Han, Jean Dezert, Yi Yang:
Learning-Based BBA Modeling Approach with Multi-Method Fusion. FUSION 2024: 1-6 - [c68]Zhuo Xiao, Yi Yang, Sixian Zhang, Wenbiao Li, Pengrong Bao, Deqiang Han:
Foreground Aware Correlation Filter with Adaptive Feature Response Fusion for Real-Time UAV Tracking. FUSION 2024: 1-6 - [c67]Zhuo Yang, Deqiang Han, Yi Yang, Jean Dezert:
A Dual-threshold Based Evidential Openmax Approach for Open Set Recognition. FUSION 2024: 1-7 - 2022
- [c66]Wei Li, Deqiang Han, Xiaojing Fan, Yi Yang:
A Novel Feature Selection Method Based on Ambiguity Distribution. ASCC 2022: 1462-1467 - [c65]Jean Dezert, Albena Tchamova, Deqiang Han:
Measure of Information Content of Basic Belief Assignments. BELIEF 2022: 119-128 - 2021
- [c64]Wei Li, Deqiang Han, Xiaojing Fan, Bo Dong:
Method of Basic Belief Assignment Determination Based on Density Estimation of Ambiguous Samples. FUSION 2021: 1-8 - [c63]Ke He, Deqiang Han, Xiaojing Fan, Yi Yang, Bo Dong:
Learning-based BBA Modeling Method with Attribute Interval Number. ICCAIS 2021: 931-935 - [c62]Hengliang Yan, Deqiang Han, Bo Dong, Xiaojing Fan, Yi Yang:
Evidence Combination Based on Belief Interval. ICCAIS 2021: 936-941 - 2020
- [j23]Shaoyi Liang, Deqiang Han, Yi Yang:
Cluster validity index for irregular clustering results. Appl. Soft Comput. 95: 106583 (2020) - [j22]Shixing Zhang, Deqiang Han, Yi Yang:
Active learning based on belief functions. Sci. China Inf. Sci. 63(11) (2020) - [j21]Hongshun He, Deqiang Han, Jean Dezert:
Disagreement based semi-supervised learning approaches with belief functions. Knowl. Based Syst. 193: 105426 (2020) - [c61]Jean Dezert, Florentin Smarandache, Albena Tchamova, Deqiang Han:
Fast Fusion of Basic Belief Assignments Defined on a Dichotomous Frame of Discernment. FUSION 2020: 1-8 - [c60]Jean Dezert, Albena Tchamova, Deqiang Han, Jean-Marc Tacnet:
The SPOTIS Rank Reversal Free Method for Multi-Criteria Decision-Making Support. FUSION 2020: 1-8
2010 – 2019
- 2019
- [j20]Zhe Zhang, Deqiang Han, Jean Dezert, Yi Yang:
A New Image Registration Algorithm Based on Evidential Reasoning. Sensors 19(5): 1091 (2019) - [c59]Jean Dezert, Albena Tchamova, Deqiang Han, Jean-Marc Tacnet:
Simplification of Multi-Criteria Decision-Making Using Inter-Criteria Analysis and Belief Functions. FUSION 2019: 1-8 - [c58]Jean Dezert, Albena Tchamova, Deqiang Han, Thanuka Wickramarathne:
A Simplified Formulation of Generalized Bayes' Theorem. FUSION 2019: 1-8 - [c57]Xiaojing Fan, Deqiang Han, Jean Dezert, Yi Yang:
User-Specified Optimization Based Transformation of Fuzzy Membership Into Basic Belief Assignment. FUSION 2019: 1-8 - [c56]Deqiang Han, Yi Yang, Jean Dezert:
On Decombination of Belief Function. FUSION 2019: 1-6 - [c55]Hongshun He, Deqiang Han, Yi Yang:
Cooperative Semi-supervised Regression Algorithm based on Belief Functions Theory. FUSION 2019: 1-6 - 2018
- [j19]Jiankun Ding, Deqiang Han, Yi Yang:
Iterative ranking aggregation using quality improvement of subgroup ranking. Eur. J. Oper. Res. 268(2): 596-612 (2018) - [j18]Jean Dezert, Albena Tchamova, Deqiang Han:
Total belief theorem and conditional belief functions. Int. J. Intell. Syst. 33(12): 2314-2340 (2018) - [j17]Jiankun Ding, Deqiang Han, Jean Dezert, Yi Yang:
A new hierarchical ranking aggregation method. Inf. Sci. 453: 168-185 (2018) - [j16]Zhe Zhang, Deqiang Han, Jean Dezert, Yi Yang:
A new adaptive switching median filter for impulse noise reduction with pre-detection based on evidential reasoning. Signal Process. 147: 173-189 (2018) - [j15]Deqiang Han, Jean Dezert, Yi Yang:
Belief Interval-Based Distance Measures in the Theory of Belief Functions. IEEE Trans. Syst. Man Cybern. Syst. 48(6): 833-850 (2018) - [c54]Deqiang Han, X. Rong Li:
Learning-Based Modelized Combination of Evidence. FUSION 2018: 1-8 - [c53]Yan Liu, Deqiang Han, Zhe Zhang, Weifeng Liu, Feihu Zhang:
Color Image Segmentation Based on Evidence Theory and Two-Dimensional Histogram. FUSION 2018: 927-932 - [c52]Jean Dezert, Albena Tchamova, Deqiang Han:
Total Belief Theorem and Generalized Bayes' Theorem. FUSION 2018: 1040-1047 - [c51]Jean Dezert, Albena Tchamova, Deqiang Han:
Credibilistic Independence of Two Propositions. FUSION 2018: 1048-1055 - [c50]Yi Yang, Deqiang Han, Jean Dezert:
A Ranking Distance Based Diversity Measure for Multiple Classifier Systems. ICCAIS 2018: 55-60 - [c49]Yi Yang, Yongqing Zhou, Deqiang Han, Wei Ai:
Weighted Evidence Combination with Ranking Distance. ICCAIS 2018: 61-66 - 2017
- [j14]Deqiang Han, Yi Yang, Chongzhao Han:
Evidence updating based on novel Jeffrey-like conditioning rules. Int. J. Gen. Syst. 46(6): 587-615 (2017) - [j13]Shaoyi Liang, Deqiang Han:
A Clustering-Oriented Closeness Measure Based on Neighborhood Chain and Its Application in the Clustering Ensemble Framework Based on the Fusion of Different Closeness Measures. Sensors 17(10): 2226 (2017) - [c48]Jean-Marc Tacnet, Simon Carladous, Jean Dezert, Deqiang Han, Mireille Batton-Hubert:
New MCDM methods under uncertainty applied to integrated natural risks management. CIVEMSA 2017: 193-198 - [c47]Jean Dezert, Deqiang Han, Jean-Marc Tacnet:
Multi-Criteria Decision-Making with imprecise scores and BF-TOPSIS. FUSION 2017: 1-8 - [c46]Jiankun Ding, Deqiang Han, Jean Dezert, Yi Yang:
Comparative study on BBA determination using different distances of interval numbers. FUSION 2017: 1-6 - [c45]Ruhuan Li, Deqiang Han, Jean Dezert, Yi Yang:
A novel edge detector for color images based on MCDM with evidential reasoning. FUSION 2017: 1-8 - [c44]Shaoyi Liang, Deqiang Han:
A new multi-layer clustering ensemble framework based on different closeness measures. FUSION 2017: 1-7 - [c43]Weibing Liu, Deqiang Han, Yi Yang:
A novel weighted SVM based on theory of belief functions. FUSION 2017: 1-6 - [c42]Xueen Wang, Deqiang Han, Chongzhao Han:
Ensemble clustering based on evidence theory. FUSION 2017: 1-9 - [c41]Lifan Zhang, Deqiang Han, Jean Dezert:
Full-dimension attitude determination based on two-antenna GPS/SINS integrated navigation system. FUSION 2017: 1-7 - [c40]Zhe Zhang, Deqiang Han, Jean Dezert, Yi Yang:
Determination of basic belief assignment using fuzzy numbers. FUSION 2017: 1-6 - [c39]Shaoyi Liang, Deqiang Han, Lei Zhang, Qinke Peng:
A novel clustering oriented closeness measure based on neighborhood chain. IJCNN 2017: 997-1004 - [c38]Gaochao Feng, Deqiang Han, Yi Yang, Jiankun Ding:
Design of multiple classifier systems based on testing sample pairs. MFI 2017: 200-205 - 2016
- [j12]Yi Yang, Deqiang Han:
A new distance-based total uncertainty measure in the theory of belief functions. Knowl. Based Syst. 94: 114-123 (2016) - [j11]Deqiang Han, Weibing Liu, Jean Dezert, Yi Yang:
A novel approach to pre-extracting support vectors based on the theory of belief functions. Knowl. Based Syst. 110: 210-223 (2016) - [j10]Yi Yang, Deqiang Han, Jean Dezert:
An angle-based neighborhood graph classifier with evidential reasoning. Pattern Recognit. Lett. 71: 78-85 (2016) - [j9]Xinyang Deng, Deqiang Han, Jean Dezert, Yong Deng, Yu Shyr:
Evidence Combination From an Evolutionary Game Theory Perspective. IEEE Trans. Cybern. 46(9): 2070-2082 (2016) - [j8]Deqiang Han, Jean Dezert, Zhansheng Duan:
Evaluation of Probability Transformations of Belief Functions for Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 46(1): 93-108 (2016) - [c37]Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Deqiang Han, Mireille Batton-Hubert:
Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection. BELIEF 2016: 56-65 - [c36]Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Yi Yang:
Decision-Making with Belief Interval Distance. BELIEF 2016: 66-74 - [c35]Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Hanlin Yin:
The BF-TOPSIS Approach for Solving Non-classical MCDM Problems. BELIEF 2016: 75-83 - [c34]Jean Dezert, Deqiang Han, Hanlin Yin:
A new Belief Function based approach for multi-criteria decision-making support. FUSION 2016: 782-789 - [c33]Yi Yang, Deqiang Han, Jean Dezert, Yan Lin:
Comparative study of focal distance measures in theory of belief functions. FUSION 2016: 1308-1315 - [c32]Jiankun Ding, Deqiang Han, Jean Dezert, Yi Yang:
A New Hierarchical Ranking Aggregation Method. FUSION 2016: 1562-1569 - [c31]Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Deqiang Han, Mireille Batton-Hubert:
Evaluation of efficiency of torrential protective structures with new BF-TOPSIS methods. FUSION 2016: 2267-2274 - [c30]Yun Yang, Deqiang Han, Jiankun Ding, Yi Yang:
An improved ViBe for video moving object detection based on evidential reasoning. MFI 2016: 26-31 - 2015
- [c29]Jean Dezert, Albena Tchamova, Deqiang Han:
A real Z-box experiment for testing Zadeh's example. FUSION 2015: 407-412 - [c28]Deqiang Han, Jean Dezert, Yi Yang:
Two novel methods for BBA approximation based on focal element redundancy. FUSION 2015: 428-434 - [c27]Deqiang Han, X. Rong Li, Yu Liu:
Mock-measurement based performance evaluation of inertial navigation without knowing ground truth. FUSION 2015: 452-459 - [c26]Zhe Zhang, Deqiang Han, Yi Yang:
Image segmentation based on evidential Markov random field model. ICCAIS 2015: 239-244 - [c25]Deqiang Han, Zongxia Wang, Weicheng Xu, Nian Wang:
Rehabilitation Training System for the Motor Deficit of Upper Extremity. ISADS 2015: 162-166 - [c24]Jiankun Ding, Deqiang Han, Yi Yang:
Novel instant-runoff ranking fusion approaches. MFI 2015: 226-232 - 2014
- [c23]Deqiang Han, Jean Dezert, Yi Yang:
New Distance Measures of Evidence Based on Belief Intervals. Belief Functions 2014: 432-441 - [c22]Jean Dezert, Albena Tchamova, Deqiang Han, Jean-Marc Tacnet:
Can we trust subjective logic for information fusion? FUSION 2014: 1-8 - [c21]Deqiang Han, Jean Dezert, Yi Yang:
Evaluations of evidence combination rules in terms of statistical sensitivity and divergence. FUSION 2014: 1-7 - [c20]Jing Liu, Deqiang Han, Chongzhao Han, Tongxing Guo:
Adaptive compressed sensing based joint detection and tracking algorithm for airborne radars with high resolution. FUSION 2014: 1-8 - [c19]Fenfei Guo, Deqiang Han, Chongzhao Han:
k-Intervals: A New Extension of the k-Means Algorithm. ICTAI 2014: 251-258 - 2013
- [j7]Deqiang Han, Yong Deng, Chongzhao Han:
Sequential weighted combination for unreliable evidence based on evidence variance. Decis. Support Syst. 56: 387-393 (2013) - [j6]Yi Yang, Deqiang Han, Chongzhao Han:
Discounted combination of unreliable evidence using degree of disagreement. Int. J. Approx. Reason. 54(8): 1197-1216 (2013) - [j5]Deqiang Han, Chongzhao Han, Yong Deng:
Novel Approaches for the Transformation of Fuzzy Membership Function into Basic Probability Assignment Based on Uncertainty Optimization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 21(2): 289-322 (2013) - [c18]Deqiang Han, Jean Dezert, Yi Yang, Chongzhao Han:
New neighborhood classifiers based on evidential reasoning. FUSION 2013: 158-165 - [c17]Deqiang Han, X. Rong Li, Shaoyi Liang:
Design of dynamic Multiple Classifier Systems based on belief functions. FUSION 2013: 418-425 - [c16]Xueen Wang, Deqiang Han, Chongzhao Han:
Rough set based cluster ensemble selection. FUSION 2013: 438-444 - [c15]Jean Dezert, Albena Tchamova, Deqiang Han, Jean-Marc Tacnet:
Why Dempster's fusion rule is not a generalization of Bayes fusion rule. FUSION 2013: 1127-1134 - [c14]Deqiang Han, Jean Dezert, Shicheng Li, Chongzhao Han, Yi Yang:
Image registration based on evidential reasoning. FUSION 2013: 1143-1150 - 2012
- [j4]You He, LiFang Hu, Xin Guan, Yong Deng, Deqiang Han:
New method for measuring the degree of conflict among general basic probability assignments. Sci. China Inf. Sci. 55(2): 312-321 (2012) - [j3]Deqiang Han, Yong Deng, Chongzhao Han, Yi Yang:
Some notes on betting commitment distance in evidence theory. Sci. China Inf. Sci. 55(3): 558-565 (2012) - [c13]Jean Dezert, Deqiang Han, Zhunga Liu, Jean-Marc Tacnet:
Hierarchical Proportional Redistribution for bba Approximation. Belief Functions 2012: 275-283 - [c12]Florentin Smarandache, Deqiang Han, Arnaud Martin:
Comparative study of contradiction measures in the theory of belief functions. FUSION 2012: 271-277 - [c11]Deqiang Han, Jean Dezert, Jean-Marc Tacnet, Chongzhao Han:
A fuzzy-cautious OWA approach with evidential reasoning. FUSION 2012: 278-285 - [c10]Deqiang Han, Jean Dezert, Chongzhao Han:
New basic belief assignment approximations based on optimization. FUSION 2012: 286-293 - [c9]Jean Dezert, Deqiang Han, Zhunga Liu, Jean-Marc Tacnet:
Hierarchical DSmP transformation for decision-making under uncertainty. FUSION 2012: 294-301 - 2011
- [j2]Deqiang Han, Chongzhao Han, Yi Yang:
A novel classifier based on shortest feature line segment. Pattern Recognit. Lett. 32(3): 485-493 (2011) - [c8]Deqiang Han, Jean Dezert, Chongzhao Han, Yi Yang:
New dissimilarity measures in evidence theory. FUSION 2011: 1-7 - 2010
- [j1]Deqiang Han, Yong Deng, Qi Liu:
Erratum to "Combining belief functions based on distance of evidence" [Decision Support Systems Volume(38/3)489-493]. Decis. Support Syst. 50(1): 360 (2010) - [c7]Deqiang Han, Jean Dezert, Chongzhao Han, Yi Yang:
Is entropy enough to evaluate the probability transformation approach of belief function? FUSION 2010: 1-7 - [c6]Xueen Wang, Chongzhao Han, Deqiang Han:
Reduction in decision table based on pair-wise complementarity of condition attributes. FUSION 2010: 1-6
2000 – 2009
- 2009
- [c5]Yi Yang, Chongzhao Han, Deqiang Han:
A novel feature line segment approach for pattern classification. FUSION 2009: 490-497 - 2008
- [c4]Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Yongqi Liang:
On The Use of Nonparametric Neighborhood Classification Rules in Multiple Classifier Combination. ISIC 2008: 643-647 - [c3]Deqiang Han, Chongzhao Han, Yi Yang:
A modified evidence combination approach based on ambiguity measure. FUSION 2008: 1-6 - [c2]Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wentao Mao:
Pre-extracting method for SVM classification based on the non-parametric K-NN rule. ICPR 2008: 1-4 - [c1]Yi Yang, Chongzhao Han, Deqiang Han:
A Markov Random Field Model-based Fusion Approach to Segmentation of SAR and Optical Images. IGARSS (4) 2008: 802-805
Coauthor Index
[j25] [c70] [c69] [c67] [c65] [j21] [c61] [c60] [j20] [c59] [c58] [c57] [c56] [j18] [j17] [j16] [j15] [c52] [c51] [c50] [c48] [c47] [c46] [c45] [c41] [c40] [j11] [j10] [j9] [j8] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c29] [c28] [c23] [c22] [c21] [c18] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c7]
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