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How to preserve the conflict as an alarm in the combination of belief functions?
16 references·14 citing·20 second hop
How to preserve the conflict as an alarm in the combination of belief functions? (2013)How to preserve the conflict as an alarm …Distances in evidence theory: Comprehensive survey and generalizations (2011)Distances in evidence theory:…Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence (2007)Conjunctive and disjunctive c…Analyzing the degree of conflict among belief functions (2006)Analyzing the degree of confl…Analyzing the combination of conflicting belief functions (2006)Analyzing the combination of …Combining belief functions based on distance of evidence (2004)Combining belief functions ba…Assessing Sensor Reliability for Multisensor Data Fusion Within the Transferable Belief Model (2004)Assessing Sensor Reliability …The consensus operator for combining beliefs (2002)The consensus operator for co…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…An evidence-theoretic k-NN rule with parameter optimization (1998)An evidence-theoretic k-NN ru…Approximations for efficient computation in the theory of evidence (1993)Approximations for efficient …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…A SET-THEORETIC VIEW OF BELIEF FUNCTIONS Logical operations and approximations by fuzzy sets† (1986)A SET-THEORETIC VIEW OF BELIE…Multiscenario deduction analysis for railway emergencies using knowledge metatheory and dynamic Bayesian networks (2024)Multiscenario deduction analy…Multisensor Data Fusion in IoT Environments in Dempster–Shafer Theory Setting: An Improved Evidence Distance-Based Approach (2023)Multisensor Data Fusion in Io…An effective conflict management method based on belief similarity measure and entropy for multi-sensor data fusion (2023)An effective conflict managem…Evidence combination using OWA‐based soft likelihood functions (2019)Evidence combination using OW…An association coefficient of a belief function and its application in a target recognition system (2019)An association coefficient of…A new probability transformation method based on a correlation coefficient of belief functions (2019)A new probability transformat…A flexible rule for evidential combination in Dempster–Shafer theory of evidence (2019)A flexible rule for evidentia…How to decide when the sources of evidence are unreliable: A multi-criteria discounting approach in the Dempster–Shafer theory (2018)How to decide when the source…A new divergence measure for basic probability assignment and its applications in extremely uncertain environments (2018)A new divergence measure for …A novel combination method for conflicting evidence based on inconsistent measurements (2016)A novel combination method fo…An improved conflicting evidence combination approach based on a new supporting probability distance (2015)An improved conflicting evide…A novel distance function of D numbers and its application in product engineering (2015)A novel distance function of …Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks (2014)Novel Algorithm for Identifyi…D-CFPR: D numbers extended consistent fuzzy preference relations (2014)D-CFPR: D numbers extended co…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)The Logic of Decision (1965)Fuzzy sets (1965)Foundations of Measurement (1990)Measuring fuzzy uncertainty (1994)Logic, Methodology and Philosophy of Science. (1963)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)Constructing Probability Boxes and Dempster-Shafer Structures (2003)Combination of Evidence in Dempster-Shafer Theory (2002)On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty (2002)
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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
  • 2004Combining belief functions based on distance of evidence579 cited
  • 2002Belief function combination and conflict management497 cited
  • 2006Analyzing the combination of conflicting belief functions420 cited
  • 2006Analyzing the degree of conflict among belief functions418 cited
  • 1986A SET-THEORETIC VIEW OF BELIEF FUNCTIONS Logical operations and approximations by fuzzy sets†417 cited
  • 2007Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence394 cited
  • 1998An evidence-theoretic k-NN rule with parameter optimization297 cited
  • 2011Distances in evidence theory: Comprehensive survey and generalizations266 cited
  • 1993Approximations for efficient computation in the theory of evidence226 cited
  • 2004Assessing Sensor Reliability for Multisensor Data Fusion Within the Transferable Belief Model

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194 cited
  • 2002The consensus operator for combining beliefs190 cited
  • Cited by

    • 2018A new divergence measure for basic probability assignment and its applications in extremely uncertain environments108 cited
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    • 2015An improved conflicting evidence combination approach based on a new supporting probability distance77 cited
    • 2019An association coefficient of a belief function and its application in a target recognition system74 cited
    • 2023An effective conflict management method based on belief similarity measure and entropy for multi-sensor data fusion59 cited
    • 2014D-CFPR: D numbers extended consistent fuzzy preference relations58 cited
    • 2019Evidence combination using OWA‐based soft likelihood functions58 cited
    • 2016A novel combination method for conflicting evidence based on inconsistent measurements57 cited
    • 2015A novel distance function of D numbers and its application in product engineering46 cited
    • 2019A flexible rule for evidential combination in Dempster–Shafer theory of evidence46 cited
    • 2018How to decide when the sources of evidence are unreliable: A multi-criteria discounting approach in the Dempster–Shafer theory45 cited
    • 2023Multisensor Data Fusion in IoT Environments in Dempster–Shafer Theory Setting: An Improved Evidence Distance-Based Approach40 cited
    • 2024Multiscenario deduction analysis for railway emergencies using knowledge metatheory and dynamic Bayesian networks20 cited