Welcome to the DSmT homepage

 

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"One step beyond the classical approaches in data fusion...
dealing with Sorites paradoxes and unrefinable frame of discernment"

 

What is DSmT ?

The Dezert-Smarandache Theory (DSmT) of plausible and paradoxical reasoning is a natural extension of the classical Dempster-Shafer Theory (DST) but includes fundamental differences with the DST. DSmT allows to formally combine any types of independent sources of information  represented in term of belief functions, but is mainly focused on the fusion of uncertain, highly conflicting  and imprecise quantitative or qualitative sources of evidence. DSmT  is able to solve complex, static or dynamic fusion problems beyond the limits of the DST framework, specially when conflicts between sources become large and when the refinement of the frame of the problem under consideration becomes inaccessible because of vague, relative and imprecise nature of elements of it.

Download a Short introduction to DSmT new version.

Important: see a very questionable behavior of DS rule of combination even in low conflicting case with discussion at
http://hal.archives-ouvertes.fr/index.php?halsid=7maaif17l99bh0dirub08odbq0&view_this_doc=hal-00732933&version=1
.
 

To know more on DSmT, download our recent published books : Advances and Applications of DSmT for Information Fusion (Collected works), edited by F. Smarandache, J. Dezert [Vol. I; Vol. II (Erratum to printed version of Vol. II), Vol. III; Vol. IV new].

Code using MatLab for DSmT has been done by Pr. Arnaud Martin from Universite de Rennes I, France, and it can be downloaded from the site: http://martin.iutlan.univ-rennes1.fr/Doc/GeneralBeliefFunctionsFramework.tar .
 

All authors who have published articles, book chapters, books, or have defended their Master theses or Ph D dissertations, or have presented papers or tutorials to various conferences and seminars on DSmT are pleased to report them to Dr. J. Dezert and Dr. F. Smarandache [jdezert (at) gmail (dot) com, fsmarandache@gmail.com] in order to have them listed in this web site. If you have your paper in PDF or a link to it, please provide it as well.

 

List of publications related to DSmT

2015

§  A DSmT Based Combination Systems for Handwritten Signature Verification, by Nassim Abbas, Youcef Chibani, Bilal Hadjadji. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 423-440.

§  A Fuzzy-Cautious OWA Approach with Evidential Reasoning, by Deqiang Han, Jean Dezert, Jean-Marc Tacnet, Chongzhao Han. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 147-154.

§  Algebraic Generalization of Venn Diagram, by Florentin Smarandache. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 45-46.

§  A PCR-BIMM filter For Maneuvering Target Tracking, by Jean Dezert, Benjamin Pannetier. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 321-328.

§  Application of New Absolute and Relative Conditioning Rules in Threat Assessment, by Ksawery Krenc, Florentin Smarandache. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 417-422.

§  An Application of DSmT in Ontology-Based Fusion Systems, by Ksawery Krenc, Adam Kawalec. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 279-286.

§  Automatic Aircraft Recognition using DSmT and HMM, by Xin-de Li, Jin-dong Pan, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 441-448.

§  On the Behavior of Dempster’s Rule of Combination and the Foundations of Dempster-Shafer Theory, by Albena Tchamova, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 177-182.

§  Cautious OWA and Evidential Reasoning for Decision Making under Uncertainty, by Jean-Marc Tacnet, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 101-108.

§  Comparative Study of Contradiction Measures in the Theory of Belief Functions, by Florentin Smarandache, Deqiang Han, Arnaud Martin. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 183-188.

§  Comparison of Identity Fusion Algorithms Using Estimations of Confusion Matrices, by G. Golino, A. Graziano, A. Farina, W. Mellano, F. Ciaramaglia. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 249-255.

§  Contradiction Measures and Specificity Degrees of Basic Belief Assignments, by Florentin Smarandache, Arnaud Martin, Christophe Osswald. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 87-94.

§  Why Dempster’s Rule doesn’t behave as Bayes rule with Informative Priors, by Jean Dezert, Albena Tchamova, Deqiang Han, Jean-Marc Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 189-193.

§  DSmT Applied to Seismic and Acoustic Sensor Fusion, by Erik P. Blasch, Jean Dezert, Pierre Valin. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 351-358.

§  DSm Theory for Fusing Highly Conflicting ESM Reports, by Pierre Valin, Pascal Djiknavorian, Dominic Grenier. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 271-277.

§  Edge Detection in Color Images Based on DSmT, by Jean Dezert, Zhun-ga Liu, Grégoire Mercier. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 343-350.

§  Evaluations of Evidence Combination Rules in Terms of Statistical Sensitivity and Divergence, by Deqiang Han, Jean Dezert, Yi Yang. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 223-229.

§  Evidence Supporting Measure of Similarity for Reducing the Complexity in Information Fusion, by Xinde Li, Jean Dezert, Florentin Smarandache, Xinhan Huang. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 55-86.

§  Evidential Reasoning for Multi-Criteria Analysis Based on DSmT-AHP, by Jean Dezert, Jean-Marc Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 95-100.

§  Examples where the Conjunctive and Dempster’s Rules are Insensitive, by Florentin Smarandache, Jean Dezert, Valeri Kroumov. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 211-213.

§  Extended PCR Rules for Dynamic Frames, by Florentin Smarandache, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 139-146.

§  Fusion of Sources of Evidence with Different Importances and Reliabilities, by F. Smarandache, J. Dezert, J.-M. Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 29-36.

§  GMTI and IMINT Data Fusion for Multiple Target Tracking and Classification, by Benjamin Pannetier, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 287-294.

§  Hierarchical DSmP Transformation for Decision-Making under Uncertainty, by Jean Dezert, Deqiang Han, Zhun-ga Liu, Jean-Marc Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 125-132.

§  Hierarchical Proportional Redistribution for bba Approximation, by Jean Dezert, Deqiang Han, Zhunga Liu, Jean-Marc Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 169-176.

§  Hierarchical Proportional Redistribution Principle for Uncertainty Reduction and BBA Approximation, by Jean Dezert, Deqiang Han, Zhun-ga Liu, Jean-Marc Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 117-124.

§  Human Integration of Motion and Texture Information in Visual Slant Estimation, by Albena Tchamova, Jean Dezert, Nadejda Bocheva, Pavlina Konstantinova. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 387-392.

§  Implementation of Approximations of Belief Functions for Fusion of ESM Reports within the DSm Framework, by Pascal Djiknavorian, Pierre Valin, Dominic Grenier. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 329-336.

§  Importance of Sources using the Repeated Fusion Method and the Proportional Conflict Redistribution Rules #5 and #6, by Florentin Smarandache, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 47-52.

§  Intelligent Alarm Classification Based on DSmT, by Albena Tchamova, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 381-386.

§  Is Entropy Enough to Evaluate the Probability Transformation Approach of Belief Function?, by Deqiang Han, Jean Dezert, Chongzhao Han, Yi Yang. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 37-43.

§  Multi-criteria decision making based on DSmT-AHP, by Jean Dezert, Jean-Marc Tacnet, Mireille Batton-Hubert, Florentin Smarandache. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 17-22.

§  Multiple Ground Target Tracking and Classification with DSmT, by Benjamin Pannetier, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 337-342.

§  Neutrosophic Masses & Indeterminate Models Applications to Information Fusion, by Florentin Smarandache. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 133-138.

§  A New Self-Adaptive Fusion Algorithm Based on DST and DSmT, by Xiao-Hong Yu, Qing-Jun Zhou, Yan-Li Li, Jin An, Zhi-Cheng Liu. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 231-237.

§  Non Bayesian Conditioning and Deconditioning, by Jean Dezert, Florentin Smarandache. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 11-16.

§  Overview of Dempster-Shafer and Belief Function Tracking Methods, by Erik Blasch, Jean Dezert, B Pannetier. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 393-402.

§  On the Quality of Optimal Assignment for Data Association, by Jean Dezert, Kaouthar Benameur. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 239-247.

§  Reliability and Importance Discounting of Neutrosophic Masses, by Florentin Smarandache. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 257-268.

§  Sequential Adaptive Combination of Unreliable Sources of Evidence, by Zhun-ga Liu, Quan Pan, Yong-mei Cheng, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 23-28.

§  Sigmoidal Model for Belief Function-Based Electre Tri Method, by Jean Dezert, Jean-Marc Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 109-116.

§  Soft ELECTRE TRI Outranking Method Based on Belief Functions, by Jean Dezert, Jean-Marc Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 155-162.

§  Static versus Dynamic Data Information Fusion Analysis using DDDAS for Cyber Security Trust, by Erik Blasch, Youssif Al-Nashif, Salim Hariri. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 449-462.

§  The Effective Use of the DSmT for Multi-Class Classification, by Nassim Abbas, Youcef Chibani , Arnaud Martin, Florentin Smarandache. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 359-380.

§  Threat assessment of a possible Vehicle-Born Improvised Explosive Device using DSmT, by Jean Dezert, Florentin Smarandache. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 295-320.

§  Tracking Applications with Fuzzy-Based Fusion Rules, by Albena Tchamova, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 403-407.

§  URREF Reliability versus Credibility in Information Fusion (STANAG 2511), by Erik Blasch, Kathryn B. Laskey, Anne-Laure Jousselme, Valentina Dragos, Paulo C. G. Costa, Jean Dezert. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 409-416.

§  URREF Self-Confidence in Information Fusion Trust, by Erik Blasch, Audun Jøsang, Jean Dezert, Paulo C. G. Costa, Anne-Laure Jousselme. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 215-222.

§  On The Validity of Dempster-Shafer Theory, by Jean Dezert, Pei Wang, Albena Tchamova. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 163-168.

§  Why Dempster’s Fusion Rule is not a Generalization of Bayes Fusion Rule, by Jean Dezert, Albena Tchamova, Deqiang Han, Jean-Marc Tacnet. In Advances and Applications of DSmT for Information Fusion. Collected Works. Volume 4, American Research Press (ARP), 2015, pp. 195-210.

§  Advanced Security Guard with PIR Sensor for Commercial and Residential use, by Sarvesh Suhas Kapre, Saurabh Sahebrao Salunkhe, Rohan Manoj Thakkar, Akshay Prakash Pawar, Omkar Ashok Malusare. In International Journal for Advance Research in Engineering and Technology, Volume 2, 2014, pp. 29-34.

§  An Alternative Combination Rule for Evidential Reasoning, by Faouzi Sebbak, Farid Benhammadi, M’hamed Mataoui, Sofiane Bouznad, Yacine Amirat. AI Laboratory, Ecole Militaire Polytechnique, Bordj el Bahri, Algiers, Algeria, 9 p.

§  An application of DSmT in ontology-based fusion systems, by Ksawery Krenc, Adam Kawalec. 12th International Conference on Information Fusion, Seattle, WA, USA, July 6-9, 2009, pp. 1218-1225.

§  An Appraisal of Off-line Signature Verification Techniques, by Abdul Salam Shah, M. N. A. Khan, Asadullah Shah. In I.J. Modern Education and Computer Science, 2015, pp. 67-75.

§  An Evidence Clustering DSmT Approximate Reasoning Method Based on Convex Functions Analysis, by Guo Qiang, He You, Guan Xin, Deng Li, Pan Lina, Jian Tao. Co-supported by the National Natural Science Foundations of China and Program for New Century Excellent Tallents in University, P. R. China, 14 p.

§  A new concept for mine-like object identification that is how to use imagery information, by Ksawery Krenc, Adam Kawalec. C4I Research and Development, Gdynia, Poland; Institute of Radioelectronics, Faculty of Electronics, Military University of Technology, Warsaw, Poland, 8 p.

§  A New Self-Adaptive Fusion Algorithm Based on DST and DSmT, by Xiao-Hong Yu, Qing-Jun Zhou, Yan-Li Li , Jin An, Zhi-Cheng Liu. Pp. 1-7.

§  Application of Evidence Theory to Construction Projects, by Desmond Adair, Martin Jaeger. In The International Journal of the Constructed Environment, Volume 4, 2014, pp. 25-36.

§  Application of Referee Functions to the Vehicle-Born Improvised Explosive Device Problem, by Frederic Dambreville. In ISIF, 2014, pp. 985-982.

§  A Reasoning Method in Conditional Evidential Networks based on Dezert-Smarandache Model. In Chinese Journal of Aeronautics, 17 p.

§  Building change detection in satellite stereo imagery based on belief functions, by Jiaojiao Tian, Peter Reinartz, Jean Dezert. Remote Sensing Technology Institute, German Aerospace Center, Oberpfaffenhofen, Germany; The French Aerospace Lab, Palaiseau, France, 4 p.

§  Can we trust subjective logic for information fusion?, by Jean Dezert, Albena Tchamova, Deqiang Han, Jean-Marc Tacnet. The French Aerospace Lab, Palaiseau, France, 8 p.

§  Change Detection by Fusion/Contextual Classification based on a Hybrid DSmT Model and ICM with Constraints, by Azeddine Elhassouny, Soufiane Idbraim, Aissam Bekkari, Driss Mammass, Danielle Ducrot. In International Journal of Computer Applications, Volume 35, December 2011, pp. 28-40.

§  Change Detection from Remote Sensing Images Based on Evidential Reasoning, by Zhun-ga Liu, Jean Dezert, Gregoire Mercier, Quan Pan,Yong-mei Cheng. In ISIF, 2011, pp. 977-984.

§  Classification of Incomplete Patterns Based on the Fusion of Belief Functions, by Zhun-ga Liu, Quan Pan, Jean Dezert, Arnaud Martin, GregoireMercier. 18th International Conference on Information Fusion, Washington, DC - July 6-9, 2015, pp. 2033-2040.

§  Classification of Offline Handwritten Signatures using Wavelets and a Pattern Recognition Neural Network, by Poornima G. Patil, Ravindra S. Hegadi. In International Journal of Computer Applications, 2014, pp. 5-9.

§  ComTrustO: Composite Trust-based Ontology Framework for Information and Decision Fusion, by Alessandro Oltramari, Jin-Hee Cho. In ISIF, 2015, pp. 542-549.

§  Decision-Level Fusion Performance Improvement From Enhanced HRR Radar Clutter Suppression, by Bart Kahler, Erik Blasch. In Journal of Advances in Information Fusion, Vol. 6, No. 2, December 2011, pp. 101-116.

§  Decision-Making Level Fusion Based on DSmT for Multi-Sensor Life Detection Platform, by Jingsong Yang, Xun Chen. In Sensors & Transducers, Vol. 164, Issue 2, February 2014, pp. 31-35.

§  Design of a Framework to Facilitate Decisions Using Information Fusion, by Tamer M. Abo Neama, Ismail A. Ismail, Tarek S. Sobh, M. Zaki. In Journal of Al Azhar University Engineering Sector, Vol. 8, No. 28, July 2013, pp. 1237-1250.

§  Developing a monitoring system for long-distance pipeline leakage incorporating fusion of conflicting evidences, by Desmond Adair, Hosam Emara-Shabaik, Martin Jaeger. Department of Mechanical Engineering, School of Engineering, Nazarbayev University, Astana, Republic of Kazakhstan; Department of Civil Engineering, School of Engineering, University of Tasmania, Sandy Bay, Australia, 12 p.

§  DSmH Evidential Network for Target Identification, by Xian Li, Zhigang Chen, Peiliang Jing. In Journal of Computational Information Systems, 2015, pp. 2739-2746.

§  A DSmT Based Combination Scheme for Multi-Class Classification, by Nassim Abbas, Youcef Chibani, Zineb Belhadi, Mehdia Hedir. Speech Communication and Signal Processing Laboratory, Faculty of Electronics and Computer Science, University of Science and Technology Houari Boumediene (USTHB), Algiers, Algeria, 8 p.

§  A Dynamic Evidential Fusion Network for Decision Making in Multi-Robot System, by Hyun Lee. In International Journal of Information Processing and Management(IJIPM), Vol. 4, No. 3, May 2013, pp. 156-170.

§  Environment Perception Using Grid Occupancy Estimation with Belief Functions, by Jean Dezert, Julien Moras, Benjamin Pannetier. In ISIF, 2015, pp. 1070-1077.

§  Evidence combination from an evolutionary game theory perspective, by Xinyang Deng, Deqiang Han, Jean Dezert, Yong Deng, Yu Shyr. School of Computer and Information Science, Southwest University, Chongqing, China, 2015, 31 p.

§  Fusing uncertain knowledge and evidence for maritime situational awareness via Markov Logic Networks, by Lauro Snidaro, Ingrid Visentini, Karna Bryan. In Information Fusion, 2015, pp. 1-17.

§  Fuzzy α-discounting method for multi-criteria decision-making, by Atilla Karaman, Metin Dagdeviren. In Journal of the Chinese Institute of Engineers, 2015, pp. 2-11.

§  Generic Object Recognition Based on the Fusion of 2D and 3D SIFT Descriptors, by Miaomiao Liu, Xinde Li, Jean Dezert, Chaomin Luo. In ISIF, 2015, pp. 1085-1092.

§  Grid Occupancy Estimation for Environment Perception Based on Belief Functions and PCR6, by Julien Moras, Jean Dezert, Benjamin Pannetier. The French Aerospace Lab, Palaiseau, France, 13 p.

§  GRP1. A recursive fusion operator for the transferable belief model, by Gavin Powell. In ISIF, 2011, pp. 168-175.

§  Impact of HRR Radar Processing on Moving Target Identification Performance, by Bart Kahler, Erik Blasch. In ISIF, 2009, pp. 858-865.

§  Implication of Culture: User Roles in Information Fusion for Enhanced Situational Understanding, by Erik Blasch, Pierre Valin, Eloi Bosse, Maria Nilsson, Joeri van Laere, Elisa Shahbazian. In ISIF, 2009, pp. 1272-1279.

§  Improvement of the walking robot dynamic stability using the DSmT and the neutrosophic logic, by Luige Vladareanu, Alexandru Gal, Hongnian Yu, Mincong Deng. Supported by the Romanian Academy and the FP7 IRSES RABOT project 2012-2016, 6 p.

§  Information Fusion with Belief Functions: a comparison of Proportional Conflict Redistribution PCR5 and PCR6 rules for Networked Sensors, by Roman Ilin, Erik Blasch. In ISIF, 2015, pp. 2084-2091.

§  Information Fusion with Topological Event Spaces, by Roman Ilin, Jun Zhang. In ISIF, 2015, pp. 2092-2099.

§  Measurement-to-Track Association for Nontraditional Measurements, by Ronald Mahler. In ISIF, 2011, pp. 1454-1461.

§  New Dissimilarity Measures in Evidence Theory, by Deqiang Han, Jean Dezert, Chongzhao Han, Yi Yang. In ISIF, 2011, pp. 483-489.

§  Online prediction for contamination of chlortetracycline fermentation based on Dezert-Smarandache theory, by Jianwen Yang, Xiangguang Chen, Huaiping Jin. In Chinese Journal of Chemical Engineering, 2015.

§   On the Quality Estimation of Optimal Multiple Criteria Data Association Solutions, by Jean Dezert, Kaouthar Benameur, Laurent Ratton, Jean-Francois Grandin. In ISIF, 2015, pp. 597-604.

§  Performance evaluation of fuzzy-based fusion rules for tracking applications, by A. Tchamova, J. Dezert. Institute of Information and Communication Technology, Bulgarian Academy of Science, Bulgaria; The French Aerospace Lab, Palaiseau, France, 9 p.

§  Performance of Probability Transformations Using Simulated Human Opinions, Donald J. Bucci, Sayandeep Acharya, Timothy J. Pleskacy, Moshe Kam. Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania, USA, 8 p.

§  Real world implementation of belief function theory to Detect Dislocation of Materials in Construction, by Saiedeh N. Razavi, Carl T. Haas, Philippe Vanheeghe, Emmanuel Duflos. In ISIF, 2009, pp. 748-755.

§  Robust Bayesianism: Relation to Evidence Theory, by Stefan Arnborg, Kungliga Tekniska Hogskolan. In Journal Of Advances In Information Fusion, Vol. 1, No. 1, July 2006, pp. 75-89.

§  SLAM and Path Planning of Mobile Robot Using DSmT, by Peng Li, Xinhan Huahg, Shengyong Wang, Jean Dezert. In Journal of Software Engeneering, 2013, pp. 46-67.

§  Two Novel Methods for BBA Approximation Based on Focal Element Redundancy, by Deqiang Han, Jean Dezert, Yi Yang. In ISIF, 2015, pp. 428-434.

§  Uncertainty Evaluation For An Ultrasonic Data Fusion Based Target Differentiation Problem Using Generalized Aggregated Uncertainty Measure 2, by M. Khodabandeh, A. Mohammad-Shahri. Electrical Engineering Department, Hamedan University of Technology, Iran; Electrical Engineering Department, Iran University of Science & Technology, Tehran, Iran, 10 p.

§  Union/intersection vs. alternative/conjunction -defining posterior hypotheses in C2 systems, by Ksawery Krenc, Adam Kawalec. Supported by the National Centre for Research and Development 2009-2011, 6 p.

§  Using Application of Dezert- Smarandache Theory on a new framework for protecting MANET, by Ekata Gupta, S.K. Saxena. In International Journal of Innovations in Engeneering and Technology, Vol. 5, 2015, pp.  432-436.

§  Improved Method Based on DSmT and Its Application in C4ISR System, by Qin Dong-sheng, Miao Zhuang, and Wang Yong. In Journal of University of Electronic Science and Technology of China, Vol. 43, No.4, Jul. 2014, pp. 591-595.

Ph D Thesis

§  Assessing the Performance of Data Fusion Algorithms Using Human Response Models, by Donald J. Bucci. A Thesis submitted to the Faculty of Drexel University in partial fulfillment of the requirements for the degree of Doctor of Philosophy, February 2015, 175 p.

Book

2014

Ph. D. Dissertation:

2013

Ph. D. Dissertation: