World's Best Scientists 2026 revealed!

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Computer Science

D-Index
45
Citations
8110
World Ranking
7212
National Ranking
158

Overview

Jean Dezert is affiliated with the Office National d'Études et de Recherches Aérospatiales in France. Their research focuses on diverse areas within computer science and decision sciences, with a particular emphasis on artificial intelligence and operations research.

The primary fields of study that characterize Dezert's publications include:

  • Computer Science
  • Decision Sciences

Within these broader domains, the main subfields explored are:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Computer Networks and Communications

Dezert's work addresses several key research topics, such as:

  • Multi-Criteria Decision Making
  • Bayesian Modeling and Causal Inference
  • Rough Sets and Fuzzy Logic
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Context-Aware Activity Recognition Systems

Throughout their career, Dezert has contributed to multiple publications. Some recent papers include:

  • "Multi-source information fusion: Progress and future" (2023), published in Chinese Journal of Aeronautics
  • "Combination of Classifiers With Different Frames of Discernment Based on Belief Functions" (2020), published in IEEE Transactions on Fuzzy Systems
  • "Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks" (2020), published in IEEE Transactions on Industrial Informatics
  • "Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition" (2021), published in IEEE Transactions on Fuzzy Systems
  • "Evidential combination of augmented multi-source of information based on domain adaptation" (2020), published in Science China Information Sciences

Dezert frequently collaborates with a select group of coauthors, including:

  • Albena Tchamova
  • Xinde Li
  • Deqiang Han
  • Yilin Dong
  • Shuzhi Sam Ge

The venues where Dezert has been published most often reflect their research interests and include:

  • Chinese Journal of Aeronautics
  • IEEE Sensors Journal
  • Cybernetics and Information Technologies
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Industrial Informatics

Best Publications

  • Advances and Applications of DSmT for Information Fusion

    F. Smarandache;J. Dezert

  • Foundations for a new theory of plausible and paradoxical reasoning

    Jean Dezert

  • Advances and Applications of DSmT for Information Fusion : Collected Works

    Florentin Smarandache;Jean Dezert

  • Combination of Classifiers With Optimal Weight Based on Evidential Reasoning

    Zhun-Ga Liu;Quan Pan;Jean Dezert;Arnaud Martin

  • Classifier Fusion With Contextual Reliability Evaluation

    Zhunga Liu;Quan Pan;Jean Dezert;Jun-Wei Han

  • Information fusion based on new proportional conflict redistribution rules

    F. Smarandache;J. Dezert

  • Evidence Combination Based on Credal Belief Redistribution for Pattern Classification

    Zhun-Ga Liu;Yu Liu;Jean Dezert;Fabio Cuzzolin

  • Adaptive imputation of missing values for incomplete pattern classification

    Zhun-ga Liu;Quan Pan;Jean Dezert;Arnaud Martin

  • A new belief-based K-nearest neighbor classification method

    Zhun-Ga Liu;Quan Pan;Jean Dezert

  • Applications and Advances of DSmT for Information Fusion

    Florentin Smarandache;Jean Dezert

  • Multi-source information fusion: Progress and future

    Unknown

  • Combination of sources of evidence with different discounting factors based on a new dissimilarity measure

    Zhun-ga Liu;Jean Dezert;Quan Pan;Grégoire Mercier

  • Evidence Combination From an Evolutionary Game Theory Perspective

    Xinyang Deng;Deqiang Han;Jean Dezert;Yong Deng

  • Credal c-means clustering method based on belief functions

    Zhun-ga Liu;Quan Pan;Jean Dezert;Grégoire Mercier

  • Fusion of sources of evidence with different importances and reliabilities

    F. Smarandache;J. Dezert;J.-M. Tacnet

  • Belief Interval-Based Distance Measures in the Theory of Belief Functions

    Deqiang Han;Jean Dezert;Yi Yang

  • On the validity of Dempster-Shafer Theory

    Jean Dezert;Pei Wang;Albena Tchamova

  • A new probabilistic transformation of belief mass assignment

    J. Dezert;F. Smarandache

  • On the behavior of Dempster's rule of combination and the foundations of Dempster-Shafer Theory

    Albena Tchamova;Jean Dezert

  • The SPOTIS Rank Reversal Free Method for Multi-Criteria Decision-Making Support

    Jean Dezert;Albena Tchamova;Deqiang Han;Jean-Marc Tacnet

  • A New Incomplete Pattern Classification Method Based on Evidential Reasoning

    Zhun-Ga Liu;Quan Pan;Gregoire Mercier;Jean Dezert

  • Proportional Conflict Redistribution Rules for Information Fusion

    Florentin Smarandache;Jean Dezert

Frequent Co-Authors

Florentin Smarandache
Florentin Smarandache University of New Mexico
Quan Pan
Quan Pan Northwestern Polytechnical University
Peter Reinartz
Peter Reinartz German Aerospace Center
Kathryn B. Laskey
Kathryn B. Laskey George Mason University
Erik Blasch
Erik Blasch United States Air Force Research Laboratory
Shuzhi Sam Ge
Shuzhi Sam Ge National University of Singapore
Audun Jøsang
Audun Jøsang University of Oslo
Xinyang Deng
Xinyang Deng Northwestern Polytechnical University
Yong Deng
Yong Deng University of Electronic Science and Technology of China

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