Sensing Attribute Weights: A Novel Basic Belief Assignment Method
暂无分享,去创建一个
Jun Wu | Chunhe Xie | Wen Jiang | Miaoyan Zhuang | Jun Wu | Wen Jiang | Miaoyan Zhuang | Chunhe Xie
[1] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[2] H. S. Wolff,et al. iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.
[3] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[4] D. Dubois,et al. On Possibility/Probability Transformations , 1993 .
[5] Ronald R. Yager,et al. A class of fuzzy measures generated from a Dempster-Shafer belief structure , 1999, Int. J. Intell. Syst..
[6] L. M. D. Campos,et al. MEASUREMENT OF POSSIBILITY DISTRIBUTIONS , 2001 .
[7] Philippe Smets,et al. Data association in multi‐target detection using the transferable belief model , 2001, Int. J. Intell. Syst..
[8] Layachi Bentabet,et al. Automatic determination of mass functions in Dempster-Shafer theory using fuzzy-C-means and spatial neighborhood information for image segmentation , 2002 .
[9] Thierry Denoeux,et al. Inferring a possibility distribution from empirical data , 2006, Fuzzy Sets Syst..
[10] Didier Dubois,et al. Practical representations of incomplete probabilistic knowledge , 2006, Comput. Stat. Data Anal..
[11] Sally I. McClean,et al. Deriving Evidence Theoretical Functions in Multivariate Data Spaces: A Systematic Approach , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[12] Shanlin Yang,et al. CSMC: A combination strategy for multi-class classification based on multiple association rules , 2008, Knowl. Based Syst..
[13] Philippe Smets,et al. The Transferable Belief Model , 1991, Artif. Intell..
[14] Luigi Fortuna,et al. Comparison of Soft-Sensor Design Methods for Industrial Plants Using Small Data Sets , 2009, IEEE Transactions on Instrumentation and Measurement.
[15] Lotfi A. Zadeh,et al. A Note on Z-numbers , 2011, Inf. Sci..
[16] Thierry Denoeux,et al. Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules , 2011, Int. J. Approx. Reason..
[17] You He,et al. New conflict representation model in generalized power space , 2012 .
[18] Haralambos Sarimveis,et al. Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[19] Wei Zhang,et al. Biased Multicomponent Reactions to Develop Novel Bromodomain Inhibitors , 2014, Journal of medicinal chemistry.
[20] Thierry Denoeux,et al. CEVCLUS: evidential clustering with instance-level constraints for relational data , 2014, Soft Comput..
[21] Jean-Philippe Lauffenburger,et al. Fusing navigation and vision information with the Transferable Belief Model: Application to an intelligent speed limit assistant , 2014, Inf. Fusion.
[22] Gangbing Song,et al. Innovative Data Fusion Enabled Structural Health Monitoring Approach , 2014 .
[23] Chao Fu,et al. An interval difference based evidential reasoning approach with unknown attribute weights and utilities of assessment grades , 2015, Comput. Ind. Eng..
[24] Yong Deng,et al. Generalized evidence theory , 2014, Applied Intelligence.
[25] Αλέξανδρος Π. Αλεξανδρίδης. Evolving RBF neural networks for adaptive soft-sensor design , 2015 .
[26] Wenyu Zhang,et al. Belief Function Based Decision Fusion for Decentralized Target Classification in Wireless Sensor Networks , 2015, Sensors.
[27] Yong Deng,et al. D-CFPR: D numbers extended consistent fuzzy preference relations , 2014, Knowl. Based Syst..
[28] Fuyuan Xiao,et al. Weighted Evidence Combination Based on Distance of Evidence and Entropy Function , 2016, Int. J. Distributed Sens. Networks.
[29] Xianguo Wu,et al. Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel‐Induced Pipeline Damage , 2016, Risk analysis : an official publication of the Society for Risk Analysis.
[30] Dawei Zhao,et al. Statistical physics of vaccination , 2016, ArXiv.
[31] Thierry Denoeux,et al. Clustering and classification of fuzzy data using the fuzzy EM algorithm , 2016, Fuzzy Sets Syst..
[32] Yong Deng,et al. A New Aggregating Operator for Linguistic Information Based on D Numbers , 2016, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[33] Yvonne Feierabend. Fuzzy Logic State Of The Art , 2016 .
[34] Xinyang Deng,et al. Evidence Combination From an Evolutionary Game Theory Perspective , 2015, IEEE Transactions on Cybernetics.
[35] Yi Yu,et al. System crash as dynamics of complex networks , 2016, Proceedings of the National Academy of Sciences.
[36] Wen Jiang,et al. A modified combination rule in generalized evidence theory , 2017, Applied Intelligence.
[37] Chunhe Xie,et al. Sensor Data Fusion with Z-Numbers and Its Application in Fault Diagnosis , 2016, Sensors.
[38] Chao Wang,et al. Fuzzy Evaluation of Network Vulnerability , 2016, Qual. Reliab. Eng. Int..
[39] Chen Zhao,et al. Analysis of the Chinese Airline Network as multi-layer networks , 2016 .
[40] Chunhe Xie,et al. A visibility graph power averaging aggregation operator: A methodology based on network analysis , 2016, Comput. Ind. Eng..
[41] Wenyu Zhang,et al. Toward Belief Function-Based Cooperative Sensing for Interference Resistant Industrial Wireless Sensor Networks , 2016, IEEE Transactions on Industrial Informatics.
[42] Weiru Liu,et al. An evidential fusion approach for gender profiling , 2016, Inf. Sci..
[43] Fuyuan Xiao,et al. An improved distance-based total uncertainty measure in belief function theory , 2017, Applied Intelligence.
[44] Wen Jiang,et al. Engine fault diagnosis based on sensor data fusion using evidence theory , 2016 .
[45] Xinyang Deng,et al. Dependence assessment in human reliability analysis based on D numbers and AHP , 2017 .
[46] Xianguo Wu,et al. Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach , 2017 .
[47] Robert LIN,et al. NOTE ON FUZZY SETS , 2014 .
[48] Yu Luo,et al. Ranking Z-numbers with an improved ranking method for generalized fuzzy numbers , 2017, J. Intell. Fuzzy Syst..
[49] Yongchuan Tang,et al. Ordered visibility graph average aggregation operator: An application in produced water management. , 2017, Chaos.
[50] Chunhe Xie,et al. A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making , 2017, Int. J. Intell. Syst..