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Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks
12 references·16 citing·25 second hop
Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks (2014)Novel Algorithm for Identifying and Fusin…How to preserve the conflict as an alarm in the combination of belief functions? (2013)How to preserve the conflict …Toward an Axiomatic Definition of Conflict Between Belief Functions (2012)Toward an Axiomatic Definitio…Combination of sources of evidence with different discounting factors based on a new dissimilarity measure (2011)Combination of sources of evi…Analyzing the degree of conflict among belief functions (2006)Analyzing the degree of confl…Decision making in the TBM: the necessity of the pignistic transformation (2004)Decision making in the TBM: t…Combining belief functions based on distance of evidence (2004)Combining belief functions ba…Belief function combination and conflict management (2002)Belief function combination a…A new distance between two bodies of evidence (2001)A new distance between two bo…Combining belief functions when evidence conflicts (2000)Combining belief functions wh…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…On the dempster-shafer framework and new combination rules (1987)On the dempster-shafer framew…Multisensor Data Fusion in IoT Environments in Dempster–Shafer Theory Setting: An Improved Evidence Distance-Based Approach (2023)Multisensor Data Fusion in Io…A new uncertainty measure via belief Rényi entropy in Dempster-Shafer theory and its application to decision making (2023)A new uncertainty measure via…Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion (2022)Measuring Uncertainty in the …A novel conflict management considering the optimal discounting weights using the BWM method in Dempster-Shafer evidence theory (2022)A novel conflict management c…iDCR: Improved Dempster Combination Rule for multisensor fault diagnosis (2021)iDCR: Improved Dempster Combi…Compound Credibility for Conflicting Evidence Combination: An Autoencoder-K-Means Approach (2021)Compound Credibility for Conf…An improved evidence fusion algorithm in multi-sensor systems (2021)An improved evidence fusion a…Sensor fusion based on Dempster‐Shafer theory of evidence using a large scale group decision making approach (2020)Sensor fusion based on Dempst…A method for combining conflicting evidences with improved distance function and Tsallis entropy (2020)A method for combining confli…An Improved Multi-Source Data Fusion Method Based on the Belief Entropy and Divergence Measure (2019)An Improved Multi-Source Data…A Novel Fuzzy Approach for Combining Uncertain Conflict Evidences in the Dempster-Shafer Theory (2019)A Novel Fuzzy Approach for Co…An uncertainty measure and fusion rule for conflict evidences of big data via Dempster–Shafer theory (2017)An uncertainty measure and fu…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 Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis (2017)A Novel Evidence Theory and F…Conflict management based on belief function entropy in sensor fusion (2016)Conflict management based on …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)Evidential reasoning rule for evidence combination (2013)A mathematical theory of evidence (1977)Supplier selection using AHP methodology extended by D numbers (2013)Generalized evidence theory (2015)A correlation coefficient for belief functions (2018)Logic, Methodology and Philosophy of Science. (1963)Fuzzy sets (1965)Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy (2018)Advances in the Dempster-Shafer theory of evidence (1994)An improved method to construct basic probability assignment based on the confusion matrix for classification problem (2016)17. A Value for n-Person Games (1953)A value for n -person games (1988)Subjective probability and expected utility without additivity (2004)Constructing Probability Boxes and Dempster-Shafer Structures (2003)Sensor dynamic reliability evaluation based on evidence theory and intuitionistic fuzzy sets (2018)Combination of Classifiers With Different Frames of Discernment Based on Belief Functions (2020)Analyzing the combination of conflicting belief functions (2006)Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence (2007)Combination of Evidence in Dempster-Shafer Theory (2002)On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty (2002)Distances in evidence theory: Comprehensive survey and generalizations (2011)
this work references cited by second hop

References

  • 1987On the dempster-shafer framework and new combination rules1,585 cited
  • 1990The combination of evidence in the transferable belief model1,113 cited
  • 2000Combining belief functions when evidence conflicts1,048 cited
  • 2001A new distance between two bodies of evidence933 cited
  • 1988Representation and combination of uncertainty with belief functions and possibility measures781 cited
  • 2004Decision making in the TBM: the necessity of the pignistic transformation653 cited
  • 2004Combining belief functions based on distance of evidence579 cited
  • 2002Belief function combination and conflict management497 cited
  • 2006Analyzing the degree of conflict among belief functions418 cited
  • 2011Combination of sources of evidence with different discounting factors based on a new dissimilarity measure140 cited
  • 2013How to preserve the conflict as an alarm in the combination of belief functions?112 cited
  • 2012Toward an Axiomatic Definition of Conflict Between Belief Functions107 cited

Cited by

  • 2017A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion92 cited
  • 2017A Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis90 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2016Conflict management based on belief function entropy in sensor fusion82 cited
  • 2019An Improved Multi-Source Data Fusion Method Based on the Belief Entropy and Divergence Measure78 cited
  • 2019A Novel Fuzzy Approach for Combining Uncertain Conflict Evidences in the Dempster-Shafer Theory64 cited
  • 2022Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion48 cited
  • 2017An uncertainty measure and fusion rule for conflict evidences of big data via Dempster–Shafer theory41 cited
  • 2022A novel conflict management considering the optimal discounting weights using the BWM method in Dempster-Shafer evidence theory41 cited
  • 2023Multisensor Data Fusion in IoT Environments in Dempster–Shafer Theory Setting: An Improved Evidence Distance-Based Approach40 cited
  • 2021iDCR: Improved Dempster Combination Rule for multisensor fault diagnosis40 cited
  • 2021Compound Credibility for Conflicting Evidence Combination: An Autoencoder-K-Means Approach40 cited
  • 2017An Improved Belief Entropy and Its Application in Decision-Making39 cited
  • 2023A new uncertainty measure via belief Rényi entropy in Dempster-Shafer theory and its application to decision making36 cited
  • 2020A method for combining conflicting evidences with improved distance function and Tsallis entropy36 cited
  • 2021An improved evidence fusion algorithm in multi-sensor systems35 cited
  • 2020Sensor fusion based on Dempster‐Shafer theory of evidence using a large scale group decision making approach32 cited