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An information fusion method based on deep learning and fuzzy discount-weighting for target intention recognition
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An information fusion method based on deep learning and fuzzy discount-weighting for target intention recognition (2022)An information fusion method based on dee…Information Volume of Mass Function (2020)Information Volume of Mass Fu…GIQ: A Generalized Intelligent Quality-Based Approach for Fusing Multisource Information (2020)GIQ: A Generalized Intelligen…Determine the Number of Unknown Targets in Open World Based on Elbow Method (2020)Determine the Number of Unkno…A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis (2020)A Novel Conflict Measurement …EFMCDM: Evidential fuzzy multicriteria decision making based on belief entropy (2019)EFMCDM: Evidential fuzzy mult…Derive knowledge of Z-number from the perspective of Dempster–Shafer evidence theory (2019)Derive knowledge of Z-number …A total uncertainty measure for D numbers based on belief intervals (2019)A total uncertainty measure f…Zero-sum polymatrix games with link uncertainty: A Dempster-Shafer theory solution (2018)Zero-sum polymatrix games wit…Multiple criteria group decision making with belief distributions and distributed preference relations (2018)Multiple criteria group decis…Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy (2018)Multi-sensor data fusion base…A correlation coefficient for belief functions (2018)A correlation coefficient for…Combination of Classifiers With Optimal Weight Based on Evidential Reasoning (2017)Combination of Classifiers Wi…Evidence Combination From an Evolutionary Game Theory Perspective (2015)Evidence Combination From an …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…Fuzzy sets (1965)Fuzzy setsPermutation Jensen–Shannon divergence for Random Permutation Set (2022)Permutation Jensen–Shannon di…A mathematical theory of evidence (1977)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)Advances in the Dempster-Shafer theory of evidence (1994)Evidential reasoning rule for evidence combination (2013)An improved method to construct basic probability assignment based on the confusion matrix for classification problem (2016)On the dempster-shafer framework and new combination rules (1987)Generalization of Dempster–Shafer theory: A complex mass function (2020)CEQD: A Complex Mass Function to Predict Interference Effects (2021)A k-nearest neighbor classification rule based on Dempster-Shafer theory (1995)Hesitant Fuzzy Linguistic Term Sets for Decision Making (2011)Evidence Combination Based on Credal Belief Redistribution for Pattern Classification (2019)Fuzzy sets (1996)A Distance Measure for Intuitionistic Fuzzy Sets and Its Application to Pattern Classification Problems (2019)Uncertainty measure in evidence theory (2020)Global supplier development considering risk factors using fuzzy extended AHP-based approach (2005)Random Permutation Set (2022)Who Belongs in the Family? (1953)Complex Network Modeling of Evidence Theory (2020)Combining belief functions based on distance of evidence (2004)Evidence combination based on prospect theory for multi-sensor data fusion (2020)A belief Hellinger distance for D–S evidence theory and its application in pattern recognition (2021)A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion (2021)Conflicting evidence combination from the perspective of networks (2021)GEJS: A Generalized Evidential Divergence Measure for Multisource Information Fusion (2022)Generalized Divergence-based Decision Making Method with an Application to Pattern Classification (2022)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
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  • 2018Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy607 cited
  • 2020Determine the Number of Unknown Targets in Open World Based on Elbow Method334 cited
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  • 2020GIQ: A Generalized Intelligent Quality-Based Approach for Fusing Multisource Information

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98 cited
  • 2019Derive knowledge of Z-number from the perspective of Dempster–Shafer evidence theory94 cited
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    • 2022Permutation Jensen–Shannon divergence for Random Permutation Set43 cited