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A new combination method based on Pearson coefficient and information entropy for multi-sensor data fusion
16 references·0 citing·34 second hopsampled
A new combination method based on Pearson coefficient and information entropy for multi-sensor data fusion (2023)A new combination method based on Pearson…Multi-classifier information fusion in risk analysis (2020)Multi-classifier information …A new belief divergence measure for Dempster–Shafer theory based on belief and plausibility function and its application in multi-source data fusion (2020)A new belief divergence measu…Evidence Combination Based on Credal Belief Redistribution for Pattern Classification (2019)Evidence Combination Based on…A new divergence measure for belief functions in D–S evidence theory for multisensor data fusion (2019)A new divergence measure for …Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy (2018)Multi-sensor data fusion base…A Weighted Combination Method for Conflicting Evidence in Multi-Sensor Data Fusion (2018)A Weighted Combination Method…Deng entropy (2016)Deng entropyConflict management based on belief function entropy in sensor fusion (2016)Conflict management based on …Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks (2014)Novel Algorithm for Identifyi…A proof for the positive definiteness of the Jaccard index matrix (2013)A proof for the positive defi…Analyzing the combination of conflicting belief functions (2006)Analyzing the combination of …Fault diagnosis of machines based on D–S evidence theory. Part 1: D–S evidence theory and its improvement (2005)Fault diagnosis of machines b…Combining belief functions based on distance of evidence (2004)Combining belief functions ba…A new distance between two bodies of evidence (2001)A new distance between two bo…Representation and combination of uncertainty with belief functions and possibility measures (1988)Representation and combinatio…On the dempster-shafer framework and new combination rules (1987)On the dempster-shafer framew…A mathematical theory of evidence (1977)Combining belief functions when evidence conflicts (2000)Supplier selection using AHP methodology extended by D numbers (2013)An improved method to construct basic probability assignment based on the confusion matrix for classification problem (2016)Constructing the Pignistic Probability Function in a Context of Uncertainty (1990)The combination of evidence in the transferable belief model (1990)Constructing Probability Boxes and Dempster-Shafer Structures (2003)Analyzing the degree of conflict among belief functions (2006)The Logic of Decision (1965)Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence (2007)Logic, Methodology and Philosophy of Science. (1963)Fuzzy sets (1965)Fuzzy Sets and Systems - Theory and Applications (1980)Belief function combination and conflict management (2002)ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE (1983)Combination of Evidence in Dempster-Shafer Theory (2002)On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty (2002)Computational Methods for A Mathematical Theory of Evidence (2008)Entropy and Specificity in a Mathematical Theory of Evidence (2008)Fuzzy sets (1996)A Distance Measure for Intuitionistic Fuzzy Sets and Its Application to Pattern Classification Problems (2019)Determine the Number of Unknown Targets in Open World Based on Elbow Method (2020)Uncertainty measure in evidence theory (2020)A k-nearest neighbor classification rule based on Dempster-Shafer theory (1995)A k-Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory (2008)Generalization of Dempster–Shafer theory: A complex mass function (2020)CEQD: A Complex Mass Function to Predict Interference Effects (2021)Evidential reasoning rule for evidence combination (2013)Negation of the Quantum Mass Function for Multisource Quantum Information Fusion With its Application to Pattern Classification (2022)Uncertainty-Based Information: Elements of Generalized Information Theory (1998)Application of a fuzzy based decision making methodology to construction project risk assessment (2007)Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network (2012)A survey: Optimization and applications of evidence fusion algorithm based on Dempster–Shafer theory (2022)EFMCDM: Evidential fuzzy multicriteria decision making based on belief entropy (2019)
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References

  • 1987On the dempster-shafer framework and new combination rules1,585 cited
  • 2001A new distance between two bodies of evidence933 cited
  • 1988Representation and combination of uncertainty with belief functions and possibility measures781 cited
  • 2018Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy608 cited
  • 2004Combining belief functions based on distance of evidence579 cited
  • 2016Deng entropy478 cited
  • 2006Analyzing the combination of conflicting belief functions429 cited
  • 2019A new divergence measure for belief functions in D–S evidence theory for multisensor data fusion253 cited
  • 2019Evidence Combination Based on Credal Belief Redistribution for Pattern Classification230 cited
  • 2020Multi-classifier information fusion in risk analysis191 cited
  • 2005Fault diagnosis of machines based on D–S evidence theory. Part 1: D–S evidence theory and its improvement186 cited
  • 2013A proof for the positive definiteness of the Jaccard index matrix122 cited
  • 2014Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks99 cited
  • 2020A new belief divergence measure for Dempster–Shafer theory based on belief and plausibility function and its application in multi-source data fusion84 cited

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  • 2018A Weighted Combination Method for Conflicting Evidence in Multi-Sensor Data Fusion82 cited
  • 2016Conflict management based on belief function entropy in sensor fusion82 cited
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