Weighted Evidence Combination Based on Distance of Evidence and Entropy Function
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Fuyuan Xiao | Xinyang Deng | Yong Deng | Liguo Fei | Jianwei Wang | Xinyang Deng | Yong Deng | Liguo Fei | Fuyuan Xiao | Jianwei Wang
[1] George J. Klir,et al. Uncertainty-Based Information , 1999 .
[2] Philippe Smets,et al. The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Yee Leung,et al. An integrated information fusion approach based on the theory of evidence and group decision-making , 2013, Inf. Fusion.
[4] Éloi Bossé,et al. Measuring ambiguity in the evidence theory , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[5] Yang Liu,et al. An Improved Genetic Algorithm with Initial Population Strategy for Symmetric TSP , 2015 .
[6] Sankaran Mahadevan,et al. Model validation under epistemic uncertainty , 2011, Reliab. Eng. Syst. Saf..
[7] Yu Luo,et al. An improved method to rank generalized fuzzy numbers with different left heights and right heights , 2015, J. Intell. Fuzzy Syst..
[8] Yu Luo,et al. Determining Basic Probability Assignment Based on the Improved Similarity Measures of Generalized Fuzzy Numbers , 2015, Int. J. Comput. Commun. Control.
[9] Yong Deng,et al. Deng entropy: a generalized Shannon entropy to measure uncertainty , 2015 .
[10] M. Beynon,et al. The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling , 2000 .
[11] Chongzhao Han,et al. Weighted evidence combination based on distance of evidence and uncertainty measure: Weighted evidence combination based on distance of evidence and uncertainty measure , 2012 .
[12] Éloi Bossé,et al. A new distance between two bodies of evidence , 2001, Inf. Fusion.
[13] Frans Voorbraak,et al. On the Justification of Dempster's Rule of Combination , 1988, Artif. Intell..
[14] S. Mahadevan,et al. Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP , 2015, Risk analysis : an official publication of the Society for Risk Analysis.
[15] George J. Klir,et al. Remarks on “Measuring Ambiguity in the Evidence Theory” , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[16] Chunhe Xie,et al. A modified method for risk evaluation in failure modes and effects analysis of aircraft turbine rotor blades , 2016 .
[17] Henri Prade,et al. Representation and combination of uncertainty with belief functions and possibility measures , 1988, Comput. Intell..
[18] Yong Deng,et al. Generalized evidence theory , 2014, Applied Intelligence.
[19] Yi Yang,et al. A new distance-based total uncertainty measure in the theory of belief functions , 2016, Knowl. Based Syst..
[20] Yongchuan Tang,et al. Sensor Data Fusion Based on a New Conflict Measure , 2016 .
[21] Sankaran Mahadevan,et al. Combining dependent bodies of evidence , 2015, Applied Intelligence.
[22] 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.
[23] Catherine K. Murphy. Combining belief functions when evidence conflicts , 2000, Decis. Support Syst..
[24] Chenglin Wen,et al. Fuzzy Information Fusion Algorithm of Fault Diagnosis Based on Similarity Measure of Evidence , 2008, ISNN.
[25] D. Dubois,et al. A NOTE ON MEASURES OF SPECIFICITY FOR FUZZY SETS , 1985 .
[26] Z Wang,et al. Adequate is better: limited-information particle swarm optimization , 2015 .
[27] Branko Ristic,et al. The TBM global distance measure for the association of uncertain combat ID declarations , 2006, Inf. Fusion.
[28] N. Pal,et al. QUANTIFICATION OF CONFLICT IN DEMPSTER-SHAFER FRAMEWORK: A NEW APPROACH , 1996 .
[29] Weiru Liu,et al. Analyzing the degree of conflict among belief functions , 2006, Artif. Intell..
[30] Sankaran Mahadevan,et al. Vulnerability Assessment of Physical Protection Systems: A Bio-Inspired Approach , 2015, Int. J. Unconv. Comput..
[31] Wen Jiang,et al. An evidential sensor fusion method in fault diagnosis , 2016 .
[32] Ronald R. Yager,et al. Entropy and Specificity in a Mathematical Theory of Evidence , 2008, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[33] Lotfi A. Zadeh,et al. A Simple View of the Dempster-Shafer Theory of Evidence and Its Implication for the Rule of Combination , 1985, AI Mag..
[34] Koichi Yamada,et al. A new combination of evidence based on compromise , 2008, Fuzzy Sets Syst..
[35] Donghyok Suh,et al. A Method to Determine Basic Probability Assignment in Context Awareness of a Moving Object , 2013, Int. J. Distributed Sens. Networks.
[36] Fabio Cuzzolin,et al. A Geometric Approach to the Theory of Evidence , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[37] Chao Fu,et al. Weighted cautious conjunctive rule for belief functions combination , 2015, Inf. Sci..
[38] Jonathan Rogers,et al. A belief function distance metric for orderable sets , 2013, Inf. Fusion.
[39] Chongzhao Han,et al. Some notes on betting commitment distance in evidence theory , 2011, Science China Information Sciences.
[40] Hu-Chen Liu,et al. Failure mode and effects analysis using D numbers and grey relational projection method , 2014, Expert Syst. Appl..
[41] Weiru Liu,et al. An evidential fusion approach for gender profiling , 2016, Inf. Sci..
[42] Sun,et al. Fault Diagnosis Based on the Updating Strategy of Interval-Valued Belief Structures , 2014 .
[43] Philippe Smets,et al. Analyzing the combination of conflicting belief functions , 2007, Inf. Fusion.
[44] Qi Liu,et al. Combining belief functions based on distance of evidence , 2004, Decis. Support Syst..
[45] R. Yager. On the dempster-shafer framework and new combination rules , 1987, Inf. Sci..
[46] Han De,et al. Weighted evidence combination based on distance of evidence and uncertainty measure , 2011 .
[47] Shi Wen-kang,et al. Combining belief functions based on distance of evidence , 2004 .
[48] Yang Gao,et al. Adequate is better: particle swarm optimization with limited-information , 2015, Appl. Math. Comput..
[49] George J. Klir,et al. Uncertainty in the dempster-shafer Theory - A Critical Re-examination , 1990 .
[50] Yu Sun,et al. The Optimization Model of Target Recognition Based on Wireless Sensor Network , 2014, Int. J. Distributed Sens. Networks.
[51] Fuyuan Xiao,et al. Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory , 2016, Sensors.
[52] Sankaran Mahadevan,et al. Handling of Dependence in Dempster–Shafer Theory , 2015, Int. J. Intell. Syst..
[53] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[54] Yong Deng. A Threat Assessment Model under Uncertain Environment , 2015 .
[55] David A. Maluf. Monotonicity of Entropy Computations in Belief Functions , 1997, Intell. Data Anal..
[56] Yan-Quan Feng,et al. Embedding even cycles on folded hypercubes with conditional faulty edges , 2015, Inf. Process. Lett..
[57] Xinyang Deng,et al. Supplier selection using AHP methodology extended by D numbers , 2014, Expert Syst. Appl..
[58] G. Klir,et al. Uncertainty-based information: Elements of generalized information theory (studies in fuzziness and soft computing). , 1998 .