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Journal articles on the topic 'Dezert-Smarandache Theory (DSmT)'

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Published: 2 June 2025
Last updated: 31 July 2025

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1

KHODABANDEH, MAHDI, and ALIREZA MOHAMMAD-SHAHRI. "TWO GENERALIZATIONS OF AGGREGATED UNCERTAINTY MEASURE FOR EVALUATION OF DEZERT–SMARANDACHE THEORY." International Journal of Information Technology & Decision Making 11, no. 01 (2012): 119–42. http://dx.doi.org/10.1142/s021962201250006x.

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Generality of the model which is used in Dezert–Smarandache Theory (DSmT) rather than other fusion algorithms such as Dempster–Shafer theory and capability of DSmT for dealing with highly conflict problems are two main reasons to prefer DSmT for decision-making systems. Aggregated uncertainty measure, which is called AU measure, has been introduced for Dempster–Shafer theory as one of the best presented ways to quantify the total uncertainty or the ambiguity of a belief function. Since AU cannot be applied to DSmT, two generalized aggregated uncertainty measures for DSmT, which are called GAU1
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2

Jean, Dezert; Florentin Smarandache. "BRAIN Journal - An Introduction to DSMT in Information Fusion." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 1, Special Issue on Advances in Applied Sciences (2010): 1–64. https://doi.org/10.5281/zenodo.1041339.

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ABSTRACT The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial reasoning. In this introduction, we present a survey of our recent theory of plausible and paradoxical reasoning, known as Dezert-Smarandache Theory (DSmT), developed for dealing with imprecise, uncertain and conflicting sources of information. We focus our presentation on the foundations of DSmT and on its most import
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3

ONERA, JEAN DEZERT, and FLORENTIN SMARANDACHE. "AN INTRODUCTION TO DSmT FOR INFORMATION FUSION." New Mathematics and Natural Computation 08, no. 03 (2012): 343–59. http://dx.doi.org/10.1142/s179300571250007x.

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The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial and approximate reasoning. In this short paper, we present an introduction of our recent theory of plausible and paradoxical reasoning, known as Dezert-Smarandache Theory (DSmT), developed to deal with imprecise, uncertain and conflicting sources of information. We focus our presentation on the foundations of DSmT and on its mo
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4

Pietkiewicz, Tadeusz. "Fusion of Identification Information from ESM Sensors and Radars Using Dezert–Smarandache Theory Rules." Remote Sensing 15, no. 16 (2023): 3977. http://dx.doi.org/10.3390/rs15163977.

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This paper presents a method of fusion of identification (attribute) information provided by two types of sensors: combined primary and secondary (IFF) surveillance radars and ESMs (electronic support measures). In the first section, the basic taxonomy of attribute identification is adopted in accordance with the standards of STANAG 1241 ed. 5 and STANAG 1241 ed. 6 (draft). These standards provide the following basic values of the attribute identifications: FRIEND; HOSTILE; NEUTRAL; UNKNOWN; and additional values, namely ASSUMED FRIEND and SUSPECT. The basis of theoretical considerations is De
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5

Fatma, Haouas, and Ben Dhiaf Zouhour. "New contributions into the Dezert-Smarandache theory: Application to remote sensing image classification." December 6, 2013. https://doi.org/10.5281/zenodo.34870.

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The theory of Dezert and Smarandache (DSmT) called also the theory of plausible and paradoxical reasoning represents a suitable formalism to fuse paradoxical sources. The application of the DSmT needs at first the generation of the hyper-powerset and more exactly the composites events.
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6

Jin, Wang, and Sun Huaijiang. "Inverse Problem in DSmT and Its Applications in Trust Management." December 5, 2015. https://doi.org/10.5281/zenodo.34836.

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DSmT (Dezert-Smarandache Theory) is actually a natural extension of DST (Dempster-Shafer Evidence Theory) and Bayes Probability Theory, which can handle both uncertainty and contradiction efficiently.
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7

Xinhan, Huang, Li Peng, and Wang Min. "Evidence Reasoning Machine Based on DSmT for Mobile Robot Mapping in Unknown Dynamic Environment." December 5, 2009. https://doi.org/10.5281/zenodo.34811.

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In this paper a new method of information fusion, Dezert-Smarandache Theory (DSmT) is introduced to deal with high conflicting and uncertain information. And then the Evidence Reasoning Machine (ERM) based on DSmT is presented for mobile robot mapping in unknown dynamic environment.
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8

Jian, Gao, Liang Weitai, and Yan Jingjing. "Fusion of Qualitative Beliefs Based on Linguistic Labels." October 5, 2010. https://doi.org/10.5281/zenodo.34818.

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9

Xinhan, Huang, Li Xinde, Wu Zuyu, and Wang Min. "Mobile Robot's Map Reconstruction Based on DSmT and Fast-Hough Self-Localization." July 11, 2007. https://doi.org/10.5281/zenodo.34850.

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10

Meena, Preeti, and Malti Bansal. "Dezert- Smarandache Theory based Classification of EMG Signals." June 14, 2016. https://doi.org/10.5281/zenodo.235625.

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This research paper proposes an intellectual method for the classification of different types of Electromyography (EMG) signals like normal, myopathy and neuropathy signals. Inside the human body, contraction of muscles and nerves occur at every second.
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11

Radja, Khedam, Bouakache Abdenour, Mercier Gregoire, and Belhadj-Aissa Aichouche. "Improvement of Land Cover Map from Satellite Imagery Using DST and DSmT." April 9, 2012. https://doi.org/10.5281/zenodo.34832.

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The aim of this paper is to show that Dempster-Shafer Theory (DST) and a recent theory of plausible and paradoxical reasoning introduced by Dezert and Smaradache and thus called Dezert-Smarandache Theory (DSmT), can be successfully applied to improve a supervised classification of remotely sensed data. Notice that application fields of these two theories are related on multisensor/multitemporal/multiscale data fusion.
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12

Li, Hongfei, Hongbin Jin, Kangsheng Tian, and Xiaoyan Fei. "Analysis and Improvement for Proportional Conflict Redistribution Rules." February 5, 2010. https://doi.org/10.5281/zenodo.34753.

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The Proportional Conflict Redistribution (PCR) rules based on Dezert-Smarandache theory (DSmT) is a useful method for dealing with uncertainty problems. It is more efficient in combining conflicting evidence.
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13

Xinde, Li, Huang Xinhan, and Wang Min. "Robot Map Building from Sonar and Laser Information using DSmT with Discounting Theory." International Journal of Mechanical, Industrial and Aerospace Sciences 0.0, no. 7 (2007). https://doi.org/10.5281/zenodo.1331353.

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In this paper, a new method of information fusion – DSmT (Dezert and Smarandache Theory) is introduced to apply to managing and dealing with the uncertain information from robot map building. Here we build grid map form sonar sensors and laser range finder (LRF). The uncertainty mainly comes from sonar sensors and LRF. Aiming to the uncertainty in static environment, we propose Classic DSm (DSmC) model for sonar sensors and laser range finder, and construct the general basic belief assignment function (gbbaf) respectively. Generally speaking, the evidence sources are unreliable in physic
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14

Nassim, Abbas, Chibani Youcef, Martin Arnaud, and Smarandache Florentin. "The Effective Use of the DSmT for Multi-Class Classification." September 8, 2013. https://doi.org/10.5281/zenodo.30334.

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The extension of the Dezert-Smarandache theory (DSmT) for the multi-class framework has a feasible computational complexity for various applications when the number of classes is limited or reduced typically two classes. In contrast, when the number of classes is large, the DSmT generates a high computational complexity.
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15

HAI-NA, JIANG, XU XIAO-BIN, and WEN CHENG-LIN. "THE COMBINATION METHOD FOR DEPENDENT EVIDENCE AND ITS APPLICATION FOR SIMULTANEOUS FAULTS DIAGNOSIS." October 6, 2015. https://doi.org/10.5281/zenodo.34906.

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This paper provides a method based on Dezert-Smarandache Theory (DSmT) for simultaneous faults diagnosis when evidence is dependent. Firstly, according to the characteristics of simultaneous faults, a frame of discernment is given for both single fault and simultaneous faults diagnosis, the DSmT combination rule applicable to simultaneous faults diagnosis is introduced.
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16

Albena, Tchamova, Semerdjiev Tzvetan, and Dezert Jean. "Estimation of Target Behavior Tendencies using Dezert-Smarandache Theory." December 5, 2015. https://doi.org/10.5281/zenodo.34809.

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This paper presents an approach for target behavior tendency estimation (Receding, Approaching). It is developed on the principles of Dezert-Smarandache theory (DSmT) of plausible and paradoxical reasoning applied to conventional sonar amplitude measurements, which serve as an evidence for COT responding decision-making procedures.
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17

Yi, Wang, Fang Yingwu, Zhang Jian, and Li Pengyang. "Dezert–Smarandache theory for multiple targets tracking in natural environment." March 15, 2013. https://doi.org/10.5281/zenodo.34800.

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The aim of this article was to investigate multiple targets tracking in natural environment based on Dezert–Smarandache theory (DSmT). On the basis of establishing conflict strategy and combination model, the basic framework and algorithm of fusing multi-source information were described.
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18

Erik, P. Blasch, Dezert Jean, and Valin Pierre. "DSmT Applied to Seismic and Acoustic Sensor Fusion." December 5, 2012. https://doi.org/10.5281/zenodo.34801.

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In this paper, we explore the use of the Dezert-Smarandache Theory (DSmT) for seismic and acoustic sensor fusion. The seismic/acoustic data is noisy which leads to classification errors and conflicts in declarations. DSmT affords the redistribution of masses when there is a conflict. The goal of this paper is to present an application and comparison on DSmT with other classifier methods to include the support vector machine(SVM) and Dempster- Shafer (DS) methods.
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19

Jian, Li, and Lan Jinhui. "Contribution of Evidence-Similarity to Target Classification." December 5, 2011. https://doi.org/10.5281/zenodo.34791.

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To resolve the target classification problem under the condition of interference, the paper presents a target classification method based on the evidence-similarity. Because the results of Dempster-Shafer Theory (DST) and Dezert-Smarandache Theory (DSmT) are used in different conflict condition. In the low conflict situation, the classification by DST has good effect, but the classification by DSmT introduces the focal element, which increase the amount of computation greatly.
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20

Patrick, Kechichian, and Champagne Benoıt. "AN IMPROVED PARTIAL HAAR DUAL ADAPTIVE FILTER FOR SPARSE ECHO CANCELLATION." September 3, 2007. https://doi.org/10.5281/zenodo.34764.

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This paper proposes the use of a peak tendency estimator (PTE) based on Dezert Smarandache Theory (DSmT) and fuzzy inference to overcome two inherent limitations of a recently proposed partial Haar dual adaptive filter (PHDAF) for sparse echo cancellation.
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21

QiangGuo, He You, Jian Tao, Wang Haipeng, and Xia Shutao. "An evidence clustering DSmT approximate reasoning method for more than two sources." May 19, 2019. https://doi.org/10.5281/zenodo.2987095.

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Due to the huge computation complexity of Dezert–Smarandache Theory (DSmT), its applications especially for multi-source (more than two sources) complex fusion problems have been limited. To get high similar approximate reasoning results with Proportional Conflict Redistribution 6 (PCR6) rule in DSmT framework (DSmT +PCR6) and remain less computation complexity, an Evidence Clustering DSmT approximate reasoning method for more than two sources is proposed. Firstly, the focal elements of multi evidences are clustered to two sets by their mass assignments respectively. Secondly, the convex
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22

Liu, Aihua. "A Method For Condition Evaluation Based On DSmT." February 5, 2013. https://doi.org/10.5281/zenodo.34750.

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Condition-based maintenance (CBM) is an optimal maintenance strategy due to improved planning for rehabilitation or replacement based on current evaluation of condition.In this paper, a new method of information fusion-DSmT(Dezert-Smarandache Theory) developed from DST(Dempster-Shafer Theory) and Bayesian theory is introduced to dealing with condition evaluation.
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23

Albena, Tchamova, and Dezert Jean. "Intelligent Alarm Classification Based on DSmT." October 25, 2013. https://doi.org/10.5281/zenodo.34834.

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In this paper the critical issue of alarms’ classification and prioritization (in terms of degree of danger) is considered and realized on the base of Proportional Conflict Redistribution rule no.5, defined in Dezert-Smarandache Theory of plausible and paradoxical reasoning.
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24

Xinde, Li, Huang Xinhan, Wang Min, and Peng Gang. "A Comparison of the Effect of Sonar Grid Map Building Based on DSmT and DST." June 21, 2006. https://doi.org/10.5281/zenodo.34741.

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Information acquired in map building presents characteristics of uncertainty, imprecision and even high conflict, especially in the course of building grid map using sonar. Here a new method of information fusion-DSmT (Dezert-Smarandache Theory) recently developed from DST and Bayesian theory was introduced to apply to managing and dealing with this uncertainty.
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25

Qian, Guo, You He, Jian Tao, Haipeng Wang, and Shutao Xia. "An evidence clustering DSmT approximate reasoning for more than two sources." October 12, 2016. https://doi.org/10.5281/zenodo.234242.

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26

Jin, Sun, and Wang Yi. "Research on Moving Object Tracking Under Occlusion Conditions." December 16, 2014. https://doi.org/10.5281/zenodo.34886.

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With the development of information fusion, a new theory based on Dezert-Smarandache Theory (DSmT) was widely applied to lots of aspects. Owing to the difficulty of handling conflict evidence combination when tracking multiple moving objects under occlusion conditions, a DSmT method with anti-occluding objects tracking in complex background is proposed based on occlusion judgment prediction, and the corresponding computing examples of generating hyper-power sets and tracking under different occluding conditions are analyzed and discussed in this paper.
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27

Guo, Q., You He, Xin Guan, Deng Li, Lana Pan, and Tao Jian. "An evidence clustering DSmT approximate reasoning method based on convex functions analysis." October 6, 2015. https://doi.org/10.5281/zenodo.237210.

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28

HUIMINCHAI. "A NOVEL APPROACH TO EVIDENCE COMBINATION IN BATTLEFIELD SITUATION ASSESSMENT USING DEZERT-SMARANDACHE THEORY." July 14, 2013. https://doi.org/10.5281/zenodo.34765.

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Situation assessment, which belongs to high level information fusion, plays an important role in military decision-making systems. In order to combine the fuzzy evidence in situation assessment, a novel approach based on Dezert-Smarandache theory(DSmT) is described in this paper. The model of fuzzy synthetic judgement is constructed to estimate the intension of force group. The characteristics of force group, including the speed, the distance and the direction, are mapped into fuzzy sets and taken as the inputs of the model. Then the results of estimation between two consecutive time moments a
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29

Jean, Dezert, and Smarandache Florentin. "Threat assessment of a possible Vehicle-Born Improvised Explosive Device using DSmT." January 16, 2014. https://doi.org/10.5281/zenodo.30338.

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This paper presents the solution about the threat of a VBIED (Vehicle-Born Improvised Explosive Device) obtained with the DSmT (Dezert-Smarandache Theory). This problem has been proposed recently to the authors by Simon Maskell and John Lavery as a typical illustrative example to try to compare the different approaches for dealing with uncertainty for decisionmaking support.
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30

JIN, Hong-bin, and Jiang-qiao LAN. "An Improved Focal Element Control Rule." April 20, 2011. https://doi.org/10.5281/zenodo.234292.

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The computational complexity of evidence theory is a hot issue in current research. Dezert-Smarandache theory (DSmT) introduces conflicting focal element, which makes the calculation complexity increases sharply. This paper starts with the focal element control rule used by the approximate calculation method mostly. The examples show that the improved rule is effective and feasible in both Shafer model and DSm model.
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31

Xinde, Li, Dai Xianzhong, and Dezert Jean. "Improved Fusion Machine Based on T-norm Operators for Robot Perception." November 5, 2009. https://doi.org/10.5281/zenodo.34831.

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Map reconstruction for autonomous mobile robots navigation needs to deal with uncertainties, imprecisions and even imperfections due to the limited sensors quality and knowledge acquisition. An improved fusion machine is proposed by replacing the classical conjunctive operator with T-norm operator in Dezert-Smarandache Theory (DSmT) framework for building grid map using noisy sonar measurements.
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32

Jean, Dezert, and Smarandache Florentin. "An Introduction to DSMT in Information Fusion." October 1, 2010. https://doi.org/10.5281/zenodo.2871975.

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The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial reasoning. In this introduction, we present a survey of our recent theory of plausible and paradoxical reasoning, known as Dezert-Smarandache Theory (DSmT), developed for dealing with imprecise, uncertain and conflicting sources of information. We focus our presentation on the foundations of DSmT and on its most important rules
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33

Jean, Dezert, and Tacnet Jean-Marc. "Evidential Reasoning for Multi-Criteria Analysis Based on DSmT-AHP." July 1, 2015. https://doi.org/10.5281/zenodo.22462.

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In this paper, we present an extension of the multi-criteria decision making based on the Analytic Hierarchy Process (AHP) which incorporates uncertain knowledge matrices for generating basic belief assignments (bba’s). The combination of priority vectors corresponding to bba’s related to each (sub)-criterion is performed using the Proportional Conflict Redistribution rule no. 5 proposed in Dezert-Smarandache Theory (DSmT) of plausible and paradoxical reasoning. The method presented here, called DSmT-AHP, is illustrated on very simple examples.
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34

Lin, He, Zhang Peipei, and Ruan Weitong. "DSmT Based RX Detector for Hyperspectral Imagery." December 5, 2015. https://doi.org/10.5281/zenodo.34802.

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Anomaly detection is very useful for hyperspectral detection with no a priori information of spectral signature. However, most prevailing anomaly detectors are applied directly to the all-bands data without considering the characteristics of hyperspectral imagery in local spectrum range and some computation problem incurred from high dimensional data. In this paper, a Dezert-Smarandache Theory (DSmT) based anomaly detector is presented to handle these problems.
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35

Benjamin, Pannetier, and Dezert Jean. "Multiple Ground Target Tracking and Classification with DSmT." July 1, 2015. https://doi.org/10.5281/zenodo.22569.

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Based on our previous work we propose to track multiple ground targets with GMTI (Ground Moving Target Indicator) sensors as well as with imagery sensors. The scope of this paper is to fuse the attribute type information given by heterogeneous sensors with DSmT (Dezert Smarandache Theory) and to introduce the type results in the tracking process to improve its performances.
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36

Nassim, Abbas, and Chibani Youcef. "SVM-DSmT Combination for Off-Line Signature Verification." October 6, 2015. https://doi.org/10.5281/zenodo.34904.

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We propose in this work a signature verification system based on decision combination of off-line signatures for managing conflict provided by the SVM classifiers. The system is basically divided into three modules: i) Radon Transform-SVM, ii) Ridgelet Transform-SVM and iii) PCR5 combination rule based on the generalized belief functions of Dezert-Smarandache theory.
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37

Guo, Qiang, You He, and Xin-de Li. "Fast DSmT-DS Approximate Reasoning Method." September 13, 2015. https://doi.org/10.5281/zenodo.32217.

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In this paper, Dempster-Shafer (DS) theory and Dezert-Smarandache Theory (DSmT) are conducted thorough reasearch, and in order to obtain more accurate fusion results in the premise of needing less computation complexity, a fast DSmT-DS approximate reasoning method is proposed. This method is only fit for the case that there are only singleton focal elements with assignments in hyper-power set. The hyper-power set is splitted and mapped to a new hyper-power set which consists of the binary sets of the focal element and its complementary set to the assignments of the compleme
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38

Jingsong, YANG, and CHEN Xun. "Decision-Making Level Fusion Based on DSmT for Multi-Sensor Life Detection Platform." February 28, 2014. https://doi.org/10.5281/zenodo.22875.

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Life detection based on a single type of information sources detection technology cannot completely meet the needs of the earthquake relief. First, we analyze the present situation of typical life detection technology, then the advantages of multi-sensor synergy detection technique are given. Second, we explained the platform structure and information fusion model. Finally, the fusion rule based on Dezert-Smarandache theory (DSmT) is used to achieve the decision level fusion. We present the results reached by the fusion with the conjunctive rule, the Dempster, the Yager and the
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39

Albena, Tchamova, and Dezert Jean. "Intelligent Alarm Classification Based on DSmT." August 14, 2012. https://doi.org/10.5281/zenodo.1042048.

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In this paper the critical issue of alarms’ classification and prioritization (in terms of degree of danger) is considered and realized on the base of Proportional Conflict Redistribution rule no.5, defined in Dezert-Smarandache Theory of plausible and paradoxical reasoning.The results obtained show the strong ability of this rule to take care in a coherent and stable way for the evolution of all possible degrees of danger, relating to a set of a priori defined, out of the ordinary dangerous directions.
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40

Esteban, Garcia, and Altamirano Leopoldo. "Multiple camera fusion based on DSmT for tracking objects on ground plane." September 6, 2014. https://doi.org/10.5281/zenodo.34860.

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This paper presents comparative results of a model for multiple camera fusion, which is based on Dezert- Smarandache theory of evidence. Our architecture works at the decision level to track objects on a ground plane using predefined zones, producing useful information for surveillance tasks such as behavior recognition.
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41

Hongfei, Li, Wang Jinran, Jin Hongbin, Tian Kangsheng, and Jing Zhongliang. "A new computational measurement and optimization approach for DSmT." July 13, 2017. https://doi.org/10.5281/zenodo.1042026.

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A great deal of interest has been paid to computation problem of Dezert-Smarandache theory (DSmT). But there are still problems on complex analysis and frequently search. The computational measurement of DSmT is presented in which the computation is generated in the search for focal elements, the combination of focal elements and basic belief assignment, the expression of focal elements. A new DSmT computational optimization approach is presented to solve the problems. The proposed approach optimizes the original evidence and combination of focal elements. The original evidence is reduced to k
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42

Nassim, Abbas, Chibani Youcef, and Nemmour Hassiba. "Handwritten Digit Recognition Based On a DSmT-SVM Parallel Combination." December 5, 2012. https://doi.org/10.5281/zenodo.34826.

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We propose in this work a new handwritten digit recognition system based on parallel combination of SVM classifiers for managing conflict provided between their outputs. Firstly, we evaluate different methods of generating features to train the SVM classifiers that operate independently of each other. To improve the performance of the system, the outputs of SVM classifiers are combined through the Dezert-Smarandache theory.
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43

Behzad, Moshiri, Moussavi Khalkhali Arezou, and Reza Momeni Hamid. "Designing a Home Security System Using Sensor Data Fusion with DST and DSmT Methods." November 5, 2015. https://doi.org/10.5281/zenodo.34799.

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Today due to the importance and necessity of implementing security systems in homes and buildings with the capability of higher certainty and lower cost, sensor fusion methods as applicable and high performance methods are attracting the researchers' attention. In this paper, the application of Dempster- Shafer evidential theory and the more general and newer one Dezert-Smarandache theory for implementing a home security system using sensor data fusion have been considered.
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44

GUO, Qiang, You HE, Xin GUAN, Li DENG, Lina PAN, and Tao JIAN. "An Evidence Clustering DSmT Approximate Reasoning Method Based on Convex Functions Analysis." March 5, 2015. https://doi.org/10.5281/zenodo.22929.

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With the increasing number of focal elements in frame of discernment, computational complexity of DSmT(Dezert-Smarandache Theory) increases exponentially, which blocks the wide application and development of DSmT. To solve this problem, a new evidence clustering DSmT approximate reasoning method is proposed in this paper based on convex functions analysis. The computational complexity of the method in this paper increases linearly instead of exponentially with the increasing number of focal elements in discernment framework. First, the method clusters the belief masses of f
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45

M., Khodabandeh, and Mohammad-Shahri A. "UNCERTAINTY EVALUATION FOR AN ULTRASONIC DATA FUSION BASED TARGET DIFFERENTIATION PROBLEM USING GENERALIZED AGGREGATED UNCERTAINTY MEASURE 2." March 5, 2015. https://doi.org/10.5281/zenodo.22881.

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The purpose of this paper is uncertainty evaluation in a target differentiation problem. In the problem ultrasonic data fusion is applied using Dezert-Smarandache theory (DSmT). Besides of presenting a scheme to target differentiation using ultrasonic sensors, the paper evaluates DSmT-based fused results in uncertainty point of view. The study obtains pattern of data for targets by a set of two ultrasonic sensors and applies a neural network as target classifier to these data to categorize the data of each sensor. Then the results are fused by DSmT to make final decision. T
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46

Yuan, Ren, Lv Tiejun, Long Feichi, Zhang Jie, and Lu Yueming. "DSmT Based Scheduling Algorithm in OFDMA Systems." December 5, 2015. https://doi.org/10.5281/zenodo.34803.

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This paper proposes a novel scheduling scheme based on Dezert-Smarandache Theory (DSmT) in an Orthogonal Frequency Division Multiple Access (OFDMA) downlink scenario. The proposed scheme is utilized in a decoupled time/frequency domain packet scheduling framework and allows jointly optimizing both system throughput and fairness. Compared with the proportional fair (PF) scheduling algorithm, the proposed method is able to achieve higher system throughput and lower average packet delay with approximately the same fairness among users. Simulation results verify that the proposed scheme can make a
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47

Azeddine, Elhassouny, Idbraim Soufiane, Bekkari Aissam, Mammass Driss, and Ducrot Danielle. "Change Detection by Fusion/Contextual Classification based on a Hybrid DSmT Model and ICM with Constraints." December 11, 2011. https://doi.org/10.5281/zenodo.22914.

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The Dezert - Smarandache Theory (DSmT) used for the fusion and the modeling of the classes sets of themes has shown its performances in the detection and the cartography of the changes. Moreover the contextual classification with the research for the optimal solution by an ICM (Iterated conditional mode) algorithm with constraints allows to take in account the parcellary aspect of the thematic classes, thus, the introduction of this contextual information in the fusion process has enabled us to better identify the topics of surface and the detection of the changes.
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48

Frederic, Dambreville. "Order in DSmT; definition of continuous DSm models." August 4, 2006. https://doi.org/10.5281/zenodo.32226.

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When implementing the DSmT, a difficulty may arise from the possible huge dimension of hyperpower sets, which are indeed free structures. However, it is possible to reduce the dimension of these structures by involving logical constraints. In this paper, the logical constraints will be related to a predefined order over the logical propositions.
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49

JEAN, DEZERT, and Smarandache Florentin. "AN INTRODUCTION TO DSmT FOR INFORMATION FUSION." September 15, 2012. https://doi.org/10.5281/zenodo.48914.

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The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly con°icting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving arti¯cial and approximate reasoning.
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50

Peng, Li, Huang Xinhan, Wang Min, and Zeng Xiangjin. "Multiple Mobile Robots Map Building Based on DSmT." December 6, 2014. https://doi.org/10.5281/zenodo.34861.

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In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances overall system performance, especially in reducing calculations and communications, improving real-time performance. Meanwhile a general basic belief assignment function (gbbaf) is constructed to deal with the uncertain and imprecise information obtained by sonar sensors with the application of new information fusion method DSmT (Dezert and Smarandache Theory) in the system and c
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