A conflict evidence fusion method based on the composite discount factor and the game theory

[1]  Xiao-Yang Liu,et al.  An ensemble and shared selective adversarial network for partial domain fault diagnosis of machinery , 2022, Eng. Appl. Artif. Intell..

[2]  G. Fortino,et al.  Toward robust and energy-efficient clustering wireless sensor networks: A double-stage scale-free topology evolution model , 2021, Comput. Networks.

[3]  Jie Geng,et al.  A new belief divergence measure for Dempster-Shafer theory based on belief and plausibility function and its application in multi-source data fusion , 2021, Eng. Appl. Artif. Intell..

[4]  Fuyuan Xiao,et al.  A method for combining conflicting evidences with improved distance function and Tsallis entropy , 2020, Int. J. Intell. Syst..

[5]  Yongsheng Yang,et al.  Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks , 2020, Reliab. Eng. Syst. Saf..

[6]  Fuyuan Xiao,et al.  A new divergence measure for belief functions in D-S evidence theory for multisensor data fusion , 2020, Inf. Sci..

[7]  Giancarlo Fortino,et al.  Environment-fusion multipath routing protocol for wireless sensor networks , 2020, Inf. Fusion.

[8]  Liguo Fei,et al.  A new vector valued similarity measure for intuitionistic fuzzy sets based on OWA operators , 2019 .

[9]  Fuyuan Xiao,et al.  Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy , 2019, Inf. Fusion.

[10]  Liguo Fei,et al.  A new divergence measure for basic probability assignment and its applications in extremely uncertain environments , 2017, Int. J. Intell. Syst..

[11]  Wen Jiang,et al.  An evidential dynamical model to predict the interference effect of categorization on decision making results , 2018, Knowl. Based Syst..

[12]  Wen Jiang,et al.  An improved soft likelihood function for Dempster–Shafer belief structures , 2018, Int. J. Intell. Syst..

[13]  Fuyuan Xiao,et al.  An Improved Method for Combining Conflicting Evidences Based on the Similarity Measure and Belief Function Entropy , 2018, Int. J. Fuzzy Syst..

[14]  Zheng Dou,et al.  Multisensor Fault Diagnosis Modeling Based on the Evidence Theory , 2018, IEEE Transactions on Reliability.

[15]  Xinyang Deng,et al.  An Evidential Axiomatic Design Approach for Decision Making Using the Evaluation of Belief Structure Satisfaction to Uncertain Target Values , 2018, Int. J. Intell. Syst..

[16]  Chao Fu,et al.  Determining attribute weights for multiple attribute decision analysis with discriminating power in belief distributions , 2017, Knowl. Based Syst..

[17]  Luning Liu,et al.  An Evidential Reliability Indicator-Based Fusion Rule for Dempster-Shafer Theory and its Applications in Classification , 2018, IEEE Access.

[18]  Wen Jiang,et al.  A Method to Identify the Incomplete Framework of Discernment in Evidence Theory , 2017 .

[19]  Yong Deng,et al.  A novel method for forecasting time series based on fuzzy logic and visibility graph , 2017, Advances in Data Analysis and Classification.

[20]  Enrique Herrera-Viedma,et al.  A new methodology for identifying unreliable sensors in data fusion , 2017, Knowl. Based Syst..

[21]  Fuyuan Xiao,et al.  A Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis , 2017, Sensors.

[22]  Miroslaw J. Skibniewski,et al.  An improved Dempster-Shafer approach to construction safety risk perception , 2017, Knowl. Based Syst..

[23]  Chunhe Xie,et al.  Failure mode and effects analysis based on a novel fuzzy evidential method , 2017, Appl. Soft Comput..

[24]  Jie Chen,et al.  Improvement of DS Evidence Theory for Multi-Sensor Conflicting Information , 2017, Symmetry.

[25]  Shun-Feng Su,et al.  A Novel Fuzzy Modeling Structure-Decomposed Fuzzy System , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[26]  Quan Pan,et al.  Model-reduced fault detection for multi-rate sensor fusion with unknown inputs , 2017, Inf. Fusion.

[27]  Witold Pedrycz,et al.  Multiobjective and multiattribute decision making in a fuzzy environment and their power engineering applications , 2016, Inf. Sci..

[28]  Chunguang Ma,et al.  A new combination method for multisensor conflict information , 2016, The Journal of Supercomputing.

[29]  Wenyu Zhang,et al.  Toward Belief Function-Based Cooperative Sensing for Interference Resistant Industrial Wireless Sensor Networks , 2016, IEEE Transactions on Industrial Informatics.

[30]  Gang Cheng,et al.  A new method of gear fault diagnosis in strong noise based on multi-sensor information fusion , 2016 .

[31]  Quan Pan,et al.  Adaptive imputation of missing values for incomplete pattern classification , 2016, Pattern Recognit..

[32]  Witold Pedrycz,et al.  The general theory of decisions , 2016, Inf. Sci..

[33]  Xinyang Deng,et al.  Evidence Combination From an Evolutionary Game Theory Perspective , 2015, IEEE Transactions on Cybernetics.

[34]  Palash Dutta,et al.  Uncertainty Modeling in Risk Assessment Based on Dempster–Shafer Theory of Evidence with Generalized Fuzzy Focal Elements , 2015 .

[35]  Chin-Feng Lai,et al.  A green data transmission mechanism for wireless multimedia sensor networks using information fusion , 2014, IEEE Wireless Communications.

[36]  Ming Cheng,et al.  Fault diagnosis of wind turbine based on multisensors information fusion technology , 2014 .

[37]  Mohammad R. Akbarzadeh-Totonchi,et al.  A qualified description of extended fuzzy logic , 2013, Inf. Sci..

[38]  Fakhri Karray,et al.  Multisensor data fusion: A review of the state-of-the-art , 2013, Inf. Fusion.

[39]  Johan Schubert,et al.  Conflict management in Dempster-Shafer theory using the degree of falsity , 2011, Int. J. Approx. Reason..

[40]  Éloi Bossé,et al.  Robust combination rules for evidence theory , 2009, Inf. Fusion.

[41]  Arthur P. Dempster,et al.  Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[42]  Weiru Liu,et al.  Analyzing the degree of conflict among belief functions , 2006, Artif. Intell..

[43]  Xianfeng Fan,et al.  Fault diagnosis of machines based on D-S evidence theory. Part 1: D-S evidence theory and its improvement , 2006, Pattern Recognit. Lett..

[44]  Qi Liu,et al.  Combining belief functions based on distance of evidence , 2004, Decis. Support Syst..

[45]  Milan Daniel,et al.  Associativity in combination of belief functions; a derivation of minC combination , 2003, Soft Comput..

[46]  Rolf Haenni,et al.  Are alternatives to Dempster's rule of combination real alternatives?: Comments on "About the belief function combination and the conflict management problem" - Lefevre et al , 2002, Inf. Fusion.

[47]  Eric Lefevre,et al.  Belief function combination and conflict management , 2002, Inf. Fusion.

[48]  Éloi Bossé,et al.  A new distance between two bodies of evidence , 2001, Inf. Fusion.

[49]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[50]  E. Damme,et al.  Non-Cooperative Games , 2000 .

[51]  Liangsheng Qu,et al.  Fault diagnosis using Rough Sets Theory , 2000 .

[52]  Catherine K. Murphy Combining belief functions when evidence conflicts , 2000, Decis. Support Syst..

[53]  Ye Xiu A New Combination Rules of Evidence Theory , 2000 .

[54]  Desire L. Massart,et al.  Rough sets theory , 1999 .

[55]  Thierry Denoeux,et al.  A k-nearest neighbor classification rule based on Dempster-Shafer theory , 1995, IEEE Trans. Syst. Man Cybern..

[56]  Philippe Smets,et al.  The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[57]  Henri Prade,et al.  Representation and combination of uncertainty with belief functions and possibility measures , 1988, Comput. Intell..

[58]  C. Tsallis Possible generalization of Boltzmann-Gibbs statistics , 1988 .

[59]  R. Yager On the dempster-shafer framework and new combination rules , 1987, Inf. Sci..

[60]  Lotfi A. Zadeh,et al.  Book Review: A Mathematical Theory of Evidence , 1984, AI Mag..

[61]  James Inglis,et al.  A Mathematical Theory of Evidence , 1978 .