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Journal articles on the topic 'DSmT'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Reagan, Louise, Katherine Pereira, Vanessa Jefferson, et al. "Diabetes Self-management Training in a Virtual Environment." Diabetes Educator 43, no. 4 (2017): 413–21. http://dx.doi.org/10.1177/0145721717715632.

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Diabetes self-management training (DSMT) improves diabetes health outcomes. However, low numbers of patients receive DSMT. Using virtual environments (VEs) for DSMT is an innovative approach to removing barriers for patients. The purpose of this paper is to describe the experience of health professionals and diabetes educators establishing and teaching DSMT in a VE, Diabetes LIVE© (Learning in Virtual Environments), and the implications for future use of VEs in DSMT. It was found that providing DSMT in a VE preserves real-time interaction between patients and educators. To facilitate ongoing p

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2

Lee, Wei-Chen, Biai Dominique Elmir Digbeu, Hani Serag, Hanaa Sallam, and Yong-Fang Kuo. "Utilization of diabetes self-management program among breast, prostate, and colorectal cancer survivors: Using 2006–2019 Texas Medicare data." PLOS ONE 18, no. 7 (2023): e0289268. http://dx.doi.org/10.1371/journal.pone.0289268.

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Background Cancer treatment is associated with inferior health outcomes such as diabetes. Medicare provides Diabetes Self-Management Training (DSMT) program to beneficiaries to achieve normal metabolic control and reduce the risk of micro and macro-vascular complications. This study aimed to examine the trend of DSMT utilization among cancer survivors and assess individual characteristics associated with it. Methods The data for this study was from Texas Cancer Registry-Medicare linkage data of patients with prostate, breast, or colorectal cancer diagnosed in 1999–2017. Outcome variables inclu

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3

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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4

Hunhoff, Paul, and Chia-Chen Yang. "Adolescent Loneliness in the Digital Age: The Roles of Need for Popularity and Digital Social Multitasking." PsyPag Quarterly 1, no. 126 (2024): 7–13. https://doi.org/10.53841/bpspag.2024.1.126.7.

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Adolescence is characterised by increased loneliness. In the digital age, adolescent loneliness may be understood through the lens of how the digital context is shaping teens’ peer relations and media use. This study examines whether teens’ need for popularity (NfP) is associated with loneliness and investigates the mediating role played by digital social multitasking (DSMT; frequency and negative perception). NfP was associated with higher loneliness, which was partially explained by negative perception of DSMT. This suggests that NfP may lead adolescents to engage in DSMT to be more socially

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5

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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6

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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7

Barlow, Susan, John Crean, Alissa Heizler, Kathy Mulcahy, and Jane Springer. "Diabetes Educators." Diabetes Educator 31, no. 3 (2005): 359–72. http://dx.doi.org/10.1177/0145721705276572.

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A survey evaluating the professional characteristics and practice patterns of diabetes educators was distributed across the United States. The specific survey aims were to assess whether (1) there continues to be a growing trend among US health professionals who consider themselves diabetes educators to obtain certification as certified diabetes educators (CDEs), (2) duties/services associated with diabetes self-management training (DSMT) and medical/medication management differ between diabetes educators who are CDEs versus those who are non-CDEs, and (3) educator practice patterns differ acr

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8

Choi, Jeong-Min, Eun-Young Cho, and Byoung-Hee Lee. "Effects of Dynamic Stretching Combined with Manual Therapy on Pain, ROM, Function, and Quality of Life of Adhesive Capsulitis." Healthcare 12, no. 1 (2023): 45. http://dx.doi.org/10.3390/healthcare12010045.

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This study was conducted to evaluate the effects of dynamic stretching combined with manual therapy on pain, range of motion, function, and quality of life in patients with adhesive capsulitis. The participants were randomly divided into two groups: the dynamic stretching combined with manual therapy (DSMT) group (n = 17) and the static stretching combined with manual therapy (SSMT) group (n = 17). Both groups received manual therapy for 10 min and two sessions per week for 4 weeks. The DSMT group also performed additional dynamic stretching for 20 min per session, two sessions per week for 4

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9

Li Hongfei, Jin Hongbin, Tian Kangsheng, and Lan Jiangqiao. "Systematic Analysis on the DSmT Combination Rule Performance in Different DSm Model." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 10 (2012): 261–68. http://dx.doi.org/10.4156/aiss.vol4.issue10.31.

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10

Dambreville, Frédéric. "Ordered DSmT and its Application to the Definition of Continuous DSm Models." Information & Security: An International Journal 20 (2006): 85–103. http://dx.doi.org/10.11610/isij.2004.

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11

SMARANDACHE, FLORENTIN, and JEAN DEZERT. "UNIFORM AND PARTIALLY UNIFORM REDISTRIBUTION RULES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 19, no. 06 (2011): 921–37. http://dx.doi.org/10.1142/s0218488511007404.

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This paper introduces two new fusion rules for combining quantitative basic belief assignments. These rules although very simple have not been proposed in literature so far and could serve as useful alternatives because of their low computation cost with respect to the recent advanced Proportional Conflict Redistribution rules developed in the DSmT framework.

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12

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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13

Xiao-Hong, YU, ZHOU Qing-Jun, LI Yan-Li, AN Jin, and LIU Zhi-Cheng. "A New Self-Adaptive Fusion Algorithm Based on DST and DSmT." July 1, 2015. https://doi.org/10.5281/zenodo.22873.

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A new self-adaptive fusion algorithm based on DST and DSmT is proposed. In the new algorithm, part of the conflicting information is normalized according to DST, while the other part is processed by DSmT. A controlling factor is used to control the quantity of information dealt by the two different methods adaptively, which is a new method avoiding setting for the threshold of conflict. The simulation results indicate that the new self-adaptive fusion algorithm based on DST and DSmT can deal with any conflicting situation with a good performance of convergenc

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14

Xiao-Hong, Yu, Zhou Qing-Jun, Li Yan-Li, and Liu Zhi-Cheng. "A New Self-Adaptive Fusion Algorithm Based on DST and DSmT." July 1, 2015. https://doi.org/10.5281/zenodo.22605.

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A new self-adaptive fusion algorithm based on DST and DSmT is proposed. In the new algorithm, part of the conflicting information is normalized according to DST, while the other part is processed by DSmT. A controlling factor is used to control the quantity of information dealt by the two different methods adaptively, which is a new method avoiding setting for the threshold of conflict. The simulation results indicate that the new self-adaptive fusion algorithm based on DST and DSmT can deal with any conflicting situation with a good performance of convergenc

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15

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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16

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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17

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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18

Hooyman, Andrew, Kevin Duff, and Sydney Y. Schaefer. "One‐week test‐retest reliability of an unsupervised, online version of the Digit Symbol Modalities task among older adults." Alzheimer's & Dementia 20, S2 (2024). https://doi.org/10.1002/alz.092895.

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AbstractBackgroundMeasuring individual cognitive ability is critical for the diagnosis of neurodegenerative disease and prognosis of neurorehabilitation. Ideally, individual cognitive ability is achieved through an in‐person neuropsychological assessment by a trained and licensed clinician. However, there are several barriers that may prevent a prospective patient from being assessed (e.g., lack of transportation, reduced access to qualified professionals, etc.). Thus, we developed an online, unsupervised version of the digit symbol modalities task (DSMT), a subtest of the Repeatable Battery f

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19

AMANTE, DANIEL J., LISA L. SHENETTE, GERALDINE PUERTO, STEPHENIE LEMON, DAVID M. HARLAN, and BEN S. GERBER. "549-P: Assessing Feasibility of a Diabetes Mellitus Program Using Behavioral Economics to Optimize Outreach and Self-Management Support with Technology—The DM-BOOST Project." Diabetes 72, Supplement_1 (2023). http://dx.doi.org/10.2337/db23-549-p.

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Introduction: The DM-BOOST intervention was developed to enhance engagement with diabetes self-management training (DSMT). Participants received peer-written text message tips with nudges to reply with personal preferences. They then completed a video call with the DM-BOOST team to confirm patient portal access, review key functions, and set a diabetes behavior goal. This was later followed by receipt of a patient portal message with their goal, which they commit to sending to the DSMT provider they are scheduled to meet with. Methods: Adults with poorly controlled type 2 diabetes (HbA1c ≥ 8)

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20

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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21

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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22

Sattasuk, Wipawee, Patraporn Sitilertpisan, Leonard Joseph, Aatit Paungmali, and Ubon Pirunsan. "A Clinical Evaluation of Scapular Dyskinesis Among Professional Bus Drivers With Unilateral Upper Quadrant Musculoskeletal Pain." Workplace Health & Safety, May 8, 2021, 216507992110035. http://dx.doi.org/10.1177/21650799211003562.

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Background: Professional bus drivers report a high prevalence of upper quadrant musculoskeletal pain which could be associated with scapular dyskinesis (SD). However, the evidence for valid and reliable screening methods for this condition is limited as SD among bus drivers is an emerging area of research. Therefore, the main aim of the study was to investigate the reliability of dynamic scapular motion test (DSMT) using video analysis as an accurate method to evaluate SD and to identify patterns of SD among bus drivers. Methods: In total, 32 bus drivers from a private bus company with unilate

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23

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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24

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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25

Wang, Yi, Y. Fang, X. Da, S. Chen, and Hui Wang. "Research on Dynamic Targets Tracking Based on Color Cues Under Complicated Scene." July 10, 2011. https://doi.org/10.5281/zenodo.237148.

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Compared with DST, DSmT can be good evidence of contradictions to resolve the issue of evidence portfolios, In view of the occluding in tracking dynamic targets in complex background, a new anti-occluding target tracking algorithm based on DSmT and particle filter is proposed by color cues.

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26

Elhassouny, A., S. Idbraim, A. Bekkarri, D. Mammass, and D. Ducrot. "Multisource Fusion/Classification Using ICM and DSmT with New Decision Rule." January 5, 2012. https://doi.org/10.5281/zenodo.236060.

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In this paper we introduce a new procedure for classification and change detection by the integration in a fusion process using hybrid DSmT model, both, the contextual information obtained from a supervised ICM classification with constraints and the temporal information with the use of two images taken at two different dates. Secondly, we have proposed a new decision rule based on the DSmP transformation, which is as an alternative and extension and overcoming the inherent limitations of the decision rules thus use the maximum of generalized belief functions.

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27

Erik, P. Blasch, Dezert Jean, and Valin Pierre. "DSmT Applied to Seismic and Acoustic Sensor Fusion." July 1, 2015. https://doi.org/10.5281/zenodo.22449.

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In this paper, we explore the use of 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 methods. The work is based on two key references (1) Marco Duarte with the initial SVM classifier application of the seismic and acoustic s

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28

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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29

Elhassouny, Azeddine, Soufiane Idbraim, Driss Mammass, and Danielle Ducrot. "Change detection by new DSmT decision rule and ICM with constraints : Application to Argan land cover." April 1, 2016. https://doi.org/10.5281/zenodo.232995.

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The objective of this work is, in the first place, the integration in a fusion process using hybrid DSmT model, both, the contextual information obtained from a supervised ICM classification with constraints and the temporal information with the use of two images taken at two different dates. Secondly, we have proposed a new decision rule based on the DSmP transformation to overcome the inherent limitations of the decision rules thus use the maximum of generalized belief functions.The approach is evaluated on two LANDSAT ETM+ images, the results are promising.

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30

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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31

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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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

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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34

Yang, Chia-chen, Christina Smith, Thomas Pham, and Jati Ariati. "Digital social multitasking (DSMT), digital stress, and socioemotional wellbeing among adolescents." Cyberpsychology: Journal of Psychosocial Research on Cyberspace 17, no. 1 (2023). http://dx.doi.org/10.5817/cp2023-1-6.

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Phone use during face-to-face interactions has become increasingly common in adolescents’ social lives, but the mechanisms through which the behavior is associated with adolescents’ socioemotional wellbeing remain understudied. Drawing on the frameworks of digital social multitasking (DSMT) and digital stress, this study examined whether and how three types of digital stress (availability stress, connection overload, and fear of missing out) mediated the association between phone use in friendships and socioemotional wellbeing (depressive symptoms and friendship quality) among adolescents. A s

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Nassim, Abbas, Chibani Youcef, and Hadjadji Bilal. "A DSmT Based Combination Systems for Handwritten Signature Verification." July 1, 2015. https://doi.org/10.5281/zenodo.21450.

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The identification or authentication from the handwritten signature is the most accepted biometric modality for identifying a person. However, a single handwritten signature verification (HSV) system does not allow achieving the required performances. Therefore, rather than trying to optimize a single HSV system by choosing the best features or classifier for a given system, researchers found more interesting to combine different systems. In that case, the DSmT is reported as very useful and powerful theoretical tool for enhancing the performance of multimodal biometric systems. Hence, we prop

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36

Xiao-Hong, YU, ZHOU Qing-Jun, LI Yan-Li, AN Jin, and LIU Zhi-Cheng. "A New Self-Adaptive Fusion Algorithm Based on DST and DSmT." November 5, 2012. https://doi.org/10.5281/zenodo.34763.

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A new self-adaptive fusion algorithm based on DST and DSmT is proposed. In the new algorithm, part of the conflicting information is normalized according to DST, while the other part is processed by DSmT. A controlling factor is used to control the quantity of information dealt by the two different methods adaptively, which is a new method avoiding setting for the threshold of conflict.

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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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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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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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40

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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Azeddine, Elhassouny, Idbraim Soufiane, Mammass Driss, and Ducrot Danielle. "Change detection by new DSmT decision rule and ICM with constraints : Application to Argan land cover." December 5, 2012. https://doi.org/10.5281/zenodo.34785.

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The objective of this work is, in the first place, the integration in a fusion process using hybrid DSmT model, both, the contextual information obtained from a supervised ICM classification with constraints and the temporal information with the use of two images taken at two different dates. Secondly, we have proposed a new decision rule based on the DSmT transformation to overcome the inherent limitations of the decision rules thus use the maximum of generalized belief functions.The approach is evaluated on two LANDSAT ETM + images, the results are promising.

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Liu, Hengyang, Cong Zhou, Yonglong Li, guifang shao, Bolin Cao, and Yanjun Liu. "A Semi-Supervised Crack Segmentation Framework Based on Uncertainty Perception and Dual-Student Mean Teacher." Measurement Science and Technology, June 9, 2025. https://doi.org/10.1088/1361-6501/ade277.

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Abstract Fully supervised crack segmentation techniques can significantly enhance the accuracy of civil structure health monitoring; however, they heavily depend on a large volume of annotated data. To mitigate this reliance, we propose a semi-supervised crack segmentation framework based on the Uncertainty-aware Dual-Student Mean Teacher (U-DSMT). The proposed method utilizes cooperative training of the Dual-Student Mean Teacher (DSMT) to leverage discrepancies between sub-networks for multi-view learning, thereby facilitating the acquisition of richer and more comprehensive feature represent

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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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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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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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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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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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Jean, Dezert, and Pannetier Benjamin. "A PCR-BIMM filter For Maneuvering Target Tracking." July 1, 2015. https://doi.org/10.5281/zenodo.22433.

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In this paper we show how to correct and improve the Belief Interacting Multiple Model filter (BIMM) proposed in 2009 by Nassreddine et al. for tracking maneuvering targets. Our improved algorithm, called PCR-BIMM is based on results developed in DSmT (Dezert-Smarandache Theory) framework and concerns two main steps of BIMM: 1) the update of the basic belief assignment of modes which is done by the Proportional Conflict Redistribution Rule no. 5 rather than Smets’ rule (conjunctive rule); 2) the global target state estimation which is obtained

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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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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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