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Journal articles on the topic 'Dezert-Smarandache Theory'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Alpert, Sofiia. "THE NEW APPROACH TO APPLYING THE DEZERT-SMARANDACHE THEORY IN LAND-COVER CLASSIFICATION IN UAV-BASED REMOTE SENSING." Management of Development of Complex Systems, no. 49 (April 11, 2022): 33–39. http://dx.doi.org/10.32347/2412-9933.2022.49.33-39.

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Nowadays UAV-based Remote Sensing gives a new opportunities for conducting scientific research in a much more detail way. Classification is one of the most important procedures in Remote Sensing tasks. This procedure can be applied in solution of numerous ecological and practical tasks, such as: forest classification, determing of soil types, exploring of oil and gas. Classification of incomplete, imprecise and high conflicting data has always been and still remains the one of most important procedures of remote sensing. In this paper the new approach to applying Dezert-Smarandache Theory in U

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2

Lifang, Hu, Guan Xin, and He You. "Efficient combination rule of Dezert-Smarandache theory." Journal of Systems Engineering and Electronics 19, no. 6 (2008): 1139–44. http://dx.doi.org/10.1016/s1004-4132(08)60210-8.

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3

Ghalem, Kamel Ghanem, and Fatiha Hendel. "Dual iris authentication system using dezert smarandache theory." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4703. http://dx.doi.org/10.11591/ijece.v9i6.pp4703-4712.

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In this paper, a dual iris authentication using Dezert Smarandache theory is presented. The proposed method consists of three main steps: In the first one, the iris images are segmented in order to extract only half iris disc that contains relevant information and is less affected by noise. For that, a Hough transform is used. The segmented images are normalized by Daugman rubber sheet model. In the second step, the normalized images are analyzed by a bench of two 1D Log-Gabor filters to extract the texture characteristics. The encoding is realized with a phase of quantization developed by J.

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4

Li, Xinde, Xuejian Wu, Jiaming Sun, and Zhengda Meng. "An approximate reasoning method in Dezert-Smarandache Theory." Journal of Electronics (China) 26, no. 6 (2009): 738–45. http://dx.doi.org/10.1007/s11767-009-0084-5.

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5

Kamel, Ghanem Ghalem, and Hendel Fatiha. "Dual iris authentication system using dezert smarandache theory." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4703–12. https://doi.org/10.11591/ijece.v9i6.pp4703-4712.

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In this paper, a dual iris authentication using Dezert Smarandache theory is presented. The proposed method consists of three main steps: In the first one, the iris images are segmented in order to extract only half iris disc that contains relevant information and is less affected by noise. For that, a Hough transform is used. The segmented images are normalized by Daugman rubber sheet model. In the second step, the normalized images are analyzed by a bench of two 1D Log-Gabor filters to extract the texture characteristics. The encoding is realized with a phase of quantization developed by J.

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6

Wang, Yi, Yingwu Fang, Jian Zhang, and Pengyang Li. "Dezert–Smarandache theory for multiple targets tracking in natural environment." IET Computer Vision 7, no. 6 (2013): 456–66. http://dx.doi.org/10.1049/iet-cvi.2012.0193.

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7

Khodabandeh, M., and A. M. Shahri. "Uncertainty evaluation for a Dezert–Smarandache theory-based localization problem." International Journal of General Systems 43, no. 6 (2014): 610–32. http://dx.doi.org/10.1080/03081079.2014.896353.

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8

Gao, Jian, Xinhan Huang, Min Wang, and Xinde Li. "Neutrosophic Combination Rules Based on Dempster-Shafer Theory and Dezert-Smarandache Theory." Information Technology Journal 7, no. 7 (2008): 1023–29. http://dx.doi.org/10.3923/itj.2008.1023.1029.

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9

Chen, Changxiao, Hongfei Li, and Minghao He. "An Improved Radar Emitter Recognition Method Based on Dezert-Smarandache Theory." Chinese Journal of Electronics 24, no. 3 (2015): 611–15. http://dx.doi.org/10.1049/cje.2015.07.029.

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10

Ceriotti, Matteo, Massimiliano Vasile, Giovanni Giardini, and Mauro Massari. "Approach to Model Interest for a Planetary Rover through Dezert-Smarandache Theory." Journal of Aerospace Computing, Information, and Communication 6, no. 2 (2009): 92–108. http://dx.doi.org/10.2514/1.37440.

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11

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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12

Yang, Jianwen, Xiangguang Chen, and Huaiping Jin. "Online prediction for contamination of chlortetracycline fermentation based on Dezert–Smarandache theory." Chinese Journal of Chemical Engineering 23, no. 6 (2015): 1009–16. http://dx.doi.org/10.1016/j.cjche.2014.06.043.

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13

Joanna, Głowacka, and Amanowicz Marek. "Application of Dezert-Smarandache Theory for Tactical MANET Security Enhancement." November 5, 2014. https://doi.org/10.5281/zenodo.34768.

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The article presents a concept of Dezert-Smarandache theory application for enhancing security in tactical mobile ad-hoc network. Tactical MANET, due to its specification, requires collection and processing of information from different sources of diverse security and trust metrics. The authors specify the needs for building a node’s situational awareness and identify data sources used for calculations of trust metrics. They provide some examples of related works and present their own conception of Dezert-Smarandache theory applicability for trust evaluation in mobile hostile environment

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14

Ekata, Gupta, and S.K.Saxena. "Using Application of Dezert- Smarandache Theory on a new framework for protecting MANET." April 2, 2015. https://doi.org/10.5281/zenodo.22872.

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The article presents a concept of Dezert-Smarandache theory application for enhancing security in tactical mobile ad- hoc network. Tactical MANET, due to its specification, requires collection and processing of information from different sources of diverse security and trust metrics. The authors specify the needs for building a node’s situational awareness and identify data sources used for calculations of trust metrics. They provide some examples of related works and present their own conception of Dezert-Smarandache theory applicability for trust evaluation in mobil

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15

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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16

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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17

Boumediene, Mohammed, Hossni Zebiri, and Jean Dezert. "Evidential data association based on Dezert–Smarandache Theory." International Journal of Intelligent Robotics and Applications, July 3, 2022. http://dx.doi.org/10.1007/s41315-022-00246-y.

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18

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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19

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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20

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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21

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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22

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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23

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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24

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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25

Gwenole, Quellec, Lamard Mathieu, Cazuguel Guy, Roux Christian, and Cochener Beatrice. "Multimodal medical case retrieval using the Dezert-Smarandache Theory." August 24, 2008. https://doi.org/10.5281/zenodo.34855.

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Most medical images are now digitized and stored with semantic information, leading to medical case databases. They may be used for aid to diagnosis, by retrieving similar cases to those in examination. But the information are often incomplete, uncertain and sometimes conflicting, so difficult to use.

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26

ZHAO, Xianzhang, Junfang ZENG, Yibo GAO, Rui GUO, and Yiping YANG. "MULTI-ULTRASONIC SENSOR FUSION BASED ON DEZERT-SMARANDACHE THEORY." December 6, 2007. https://doi.org/10.5281/zenodo.34862.

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It is well known that ultrasonic sensor is widely used in mobile robot to get range information with low cost, and the main bottle problem of using ultrasonic sensors to build an occupancy grid map is how to deal with the uncertainty in ultrasonic sensor data. In this paper, a new kind of Multiultrasonic sensor fusion method is presented.

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27

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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28

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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29

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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30

Xinde, Li. "The Problem of Entropy Production in the Classic Rule of Combination in the Dezert-Smarandache Theory." November 6, 2013. https://doi.org/10.5281/zenodo.34910.

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In this paper, the classic rule of combination in the Dezert-Smarandache theory is found to be not convergent with the number increase of evidential sources since it leaves out the denominator in the Dempster’s rule.

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31

Xinde, Li. "The Problem of Entropy Production in the Classic Rule of Combination in the Dezert-Smarandache Theory." December 6, 2013. https://doi.org/10.5281/zenodo.34911.

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In this paper, the classic r ule of combination in the Dezert-Smarandache theory is found to be not convergent with the number increase of evidential sources since it leaves out the denominator in the Dempster ’s rule.

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32

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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33

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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34

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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35

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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36

Pascal, Djiknavorian, Grenier Dominic, and Valin Pierre. "Analysis of information fusion combining rules under the DSm theory using ESM inputs." February 15, 2015. https://doi.org/10.5281/zenodo.34754.

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In the context of Electronic Support Measures, the use of the Dempster-Shafer Theory is not flexible enough to obtain a clear evaluation of the state of allegiance for a detected target. With the new theory of plausible, paradoxical, and neutrosophic reasoning, the Dezert-Smarandache Theory, we are able to get a clearer assessment. The current paper presents our research for these cases.

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37

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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38

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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39

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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40

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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41

Patrick, Maupin, and Jousselme Anne-Laure. "Vagueness, a multifacet concept - A case study on Ambrosia artemisiifolia predictive cartography." December 6, 2013. https://doi.org/10.5281/zenodo.34919.

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This papers proposes a reflexion on the concept of vagueness. We relate the different kinds of vagueness to relevant mathematical frameworks with particular emphasis on recent works on neutrosophic logic, Dezert-Smarandache theory, and rough sets. The different facets of vagueness are illustrated through a case study on Ambrosia artemisiifolia predictive cartography.

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42

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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43

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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44

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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45

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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46

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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47

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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48

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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49

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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50

Pascal, Djiknavorian, Valin Pierre, and Grenier Dominic. "Implementation of Approximations of Belief Functions for Fusion of ESM Reports within the DSm Framework." December 5, 2015. https://doi.org/10.5281/zenodo.34829.

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Electronic Support Measures consist of passive receivers which can identify emitters which, in turn, can be related to platforms that belong to 3 classes: Friend, Neutral, or Hostile. Decision makers prefer results presented in STANAG 1241 allegiance form, which adds 2 new classes: Assumed Friend, and Suspect. Dezert- Smarandache (DSm) theory is particularly suited to this problem, since it allows for intersections between the original 3 classes.

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