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A new belief-based K-nearest neighbor classification method
7 references·10 citing·29 second hop
A new belief-based K-nearest neighbor classification method (2012)A new belief-based K-nearest neighbor cla…A k-Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory (2008)A k-Nearest Neighbor Classifi…Advances and Applications of DSmT for Information Fusion (2004)Advances and Applications of …An evidence-theoretic k-NN rule with parameter optimization (1998)An evidence-theoretic k-NN ru…A k-nearest neighbor classification rule based on Dempster-Shafer theory (1995)A k-nearest neighbor classifi…The combination of evidence in the transferable belief model (1990)The combination of evidence i…Representation and combination of uncertainty with belief functions and possibility measures (1988)Representation and combinatio…A mathematical theory of evidence (1977)A mathematical theory of evid…A new classification method based on the negation of a basic probability assignment in the evidence theory (2020)A new classification method b…An Evidential Fractal Analytic Hierarchy Process Target Recognition Method (2018)An Evidential Fractal Analyti…NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier (2017)NS-k-NN: Neutrosophic Set-Bas…An Improved Belief Entropy and Its Application in Decision-Making (2017)An Improved Belief Entropy an…A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion (2017)A Weighted Belief Entropy-Bas…A modified belief entropy in Dempster-Shafer framework (2017)A modified belief entropy in …Dissimilarity Metric Learning in the Belief Function Framework (2016)Dissimilarity Metric Learning…Classification of incomplete data based on belief functions and K-nearest neighbors (2015)Classification of incomplete …An evidential classifier based on feature selection and two-step classification strategy (2015)An evidential classifier base…A New Incomplete Pattern Classification Method Based on Evidential Reasoning (2014)A New Incomplete Pattern Clas…Fuzzy Sets and Systems - Theory and Applications (1980)Judgment under Uncertainty (1982)Judgment under uncertainty: Causality and attribution (1982)k-order additive discrete fuzzy measures and their representation (1997)A new distance between two bodies of evidence (2001)Evidential reasoning rule for evidence combination (2013)Logic, Methodology and Philosophy of Science. (1963)Fuzzy sets (1965)Belief function combination and conflict management (2002)Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy (2018)A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination (1986)An improved method to construct basic probability assignment based on the confusion matrix for classification problem (2016)Developing pessimistic–optimistic risk-based methods for multi-sensor fusion: An interval-valued evidence theory approach (2018)An Improved Belief Entropy in Evidence Theory (2020)A Generalized Belief Entropy With Nonspecificity and Structural Conflict (2021)A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method (2011)Machine Learning Models in Stock Market Prediction (2022)Analyzing the combination of conflicting belief functions (2006)Classifier Fusion With Contextual Reliability Evaluation (2017)Combination of Classifiers With Optimal Weight Based on Evidential Reasoning (2017)Multiple criteria group decision making based on group satisfaction (2020)A New Evidential Reasoning Rule With Continuous Probability Distribution of Reliability (2021)Partial classification in the belief function framework (2021)Reasoning with imprecise belief structures (1999)Assessing Sensor Reliability for Multisensor Data Fusion Within the Transferable Belief Model (2004)Distances in evidence theory: Comprehensive survey and generalizations (2011)Environmental impact assessment using the evidential reasoning approach (2005)Classic Works of the Dempster-Shafer Theory of Belief Functions (2008)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)
this work references cited by second hop

References

  • 1977A mathematical theory of evidence1,783 cited
  • 1990The combination of evidence in the transferable belief model1,113 cited
  • 1995A k-nearest neighbor classification rule based on Dempster-Shafer theory1,021 cited
  • 2008A k-Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory831 cited
  • 1988Representation and combination of uncertainty with belief functions and possibility measures781 cited
  • 2004Advances and Applications of DSmT for Information Fusion437 cited
  • 1998An evidence-theoretic k-NN rule with parameter optimization297 cited

Cited by

  • 2017NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier96 cited
  • 2017A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion92 cited
  • 2014A New Incomplete Pattern Classification Method Based on Evidential Reasoning90 cited
  • 2015An evidential classifier based on feature selection and two-step classification strategy66 cited
  • 2017A modified belief entropy in Dempster-Shafer framework60 cited
  • 2018An Evidential Fractal Analytic Hierarchy Process Target Recognition Method51 cited
  • 2020A new classification method based on the negation of a basic probability assignment in the evidence theory45 cited

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  • 2015Classification of incomplete data based on belief functions and K-nearest neighbors45 cited
  • 2016Dissimilarity Metric Learning in the Belief Function Framework41 cited
  • 2017An Improved Belief Entropy and Its Application in Decision-Making39 cited