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Journal articles on the topic 'Dezert'

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

I.S., Kosenko. "Sofiyivka as a prototype of French landscape parks of XVIII century." Plant Introduction 17-18 (June 1, 2003): 142–48. https://doi.org/10.5281/zenodo.3253318.

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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

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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12

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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13

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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14

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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15

Dong, Yilin, Xinde Li, Jean Dezert, Mohammad Omar Khyam, Md Noor-A-Rahim, and Shuzhi Sam Ge. "Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks." IEEE Transactions on Industrial Informatics 16, no. 11 (2020): 7138–49. http://dx.doi.org/10.1109/tii.2020.2976812.

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16

Peng, Li, Huang Xinhan, and Wang Min. "Robot Map Building in Unknown Dynamic Environment Based on Hybrid Dezert-Smarandache Model." Information Technology Journal 8, no. 3 (2009): 284–92. http://dx.doi.org/10.3923/itj.2009.284.292.

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17

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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18

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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19

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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20

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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21

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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22

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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23

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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24

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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25

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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26

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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27

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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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

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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30

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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31

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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32

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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33

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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34

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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35

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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36

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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37

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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38

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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39

Guo, Qiang, and You He. "DSm Evidence Modeling and Radar Emitter Fusion Recognition Method Based on Cloud Model DSm Evidence Modeling and Radar Emitter Fusion Recognition Method Based on Cloud Model." August 18, 2015. https://doi.org/10.5281/zenodo.235643.

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To improve the correct radar emitter recognition rate in cases that radar emitter characteristic parameters are overlapped with each other and existence of multiple modes, a DSm (Dezert-Smarandache) evidence modeling and radar emitter fusion recognition method based on cloud model is proposed.

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40

Huaiping, Jin, and Chen Xiangguang. "Online prediction for contamination of chlortetracycline fermentation based on Dezert-Smarandache theory." March 13, 2015. https://doi.org/10.5281/zenodo.22917.

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Fermentative production of chlortetracycline is a complex fed-batch bioprocess. It generally takes over 90h for cultivation and is often contaminated by undesired microorganisms. Once the fermentation system is contaminated to certain extent, the product quality and yield will be seriously affected, leading to a substantial economic loss. Using information fusion based on the Dezer-Smarandache theory, self-recursive wavelet neural network and unscented Kalman filter, a novel method for online prediction of contamination is developed. All state variables of culture process involving easy-to-mea

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41

Chinese, Journal of Aeronautics. "A Reasoning Method in Conditional Evidential Networks based on Dezert-Smarandache Model." May 5, 2015. https://doi.org/10.5281/zenodo.22926.

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Aiming to solving the problem that the evidence information based on Dezert-Smarandache (DSm) model can not be fused effectively in Conditional Evidential Network based on Smets/DS model (ENC), a reasoning method in Conditional Evidential Network based on DSm model is proposed. First, the conditional reasoning formular in Conditional Evidential Network based on DSm model is proved and the reasoning algorithm is proposed. Then, the hyperpower set of overlapping hypotheses is refined to a new power set of exhaustive and exclusive hypotheses, and the conditional belief functio

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42

Jianwen, Yang, Chen Xiangguang, and Jin Huaiping. "Online prediction for contamination of chlortetracycline fermentation based on Dezert–Smarandache theory." March 13, 2015. https://doi.org/10.5281/zenodo.32225.

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Fermentative production of chlortetracycline is a complex fed-batch bioprocess. It generally takes over 90 h for cultivation and is often contaminated by undesired microorganisms. Once the fermentation system is contaminated to certain extent, the product quality and yieldwill be seriously affected, leading to a substantial economic loss.

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43

G., Quellec, Lamard M., Bekri L., Cazuguel G., Roux C., and Cochener B. "MULTIMODAL MEDICAL CASE RETRIEVAL USING BAYESIAN NETWORKS AND THE DEZERT-SMARANDACHE THEORY." December 6, 2015. https://doi.org/10.5281/zenodo.34856.

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In this paper, we present a Case Based Reasoning (CBR) system for the retrieval of medical cases made up of a series of images with semantic information (such as the patient age, sex and medical history).

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44

Yang, J., X. Chen, and H. Jin. "Online prediction for contamination of chlortetracycline fermentation based on Dezert-Smarandache Theory." May 10, 2015. https://doi.org/10.5281/zenodo.237170.

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45

Changrong, Ye, Li Guojun, Bao Yang, Qiao Jinliang, and Zhang Deping. "Multi-lead Fusion Detection of T-Wave Alternans Using Dezert-Smarandache Theory." July 13, 2017. https://doi.org/10.5281/zenodo.1042050.

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T-Wave alternans (TWA) is a cardiac phenomenon regarded as an index of high risk of sudden cardiac death (SCD). Although a number of methods have been proposed for TWA detection, their final decision always fully depends on one single lead which is usually picked out for its strongest TWA detection result among all the other leads.

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46

L., Mezai, and Hachouf F. "ADAPTIVE MULTIMODAL BIOMETRIC FUSION ALGORITHM USING PARTICLE SWARM OPTIMIZATION AND BELIEF FUNCTIONS." September 10, 2018. https://doi.org/10.5281/zenodo.1412397.

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In this paper, an adaptive multimodal biometric fusion algorithm is proposed. It is based on belief functions and Particle Swarm Optimization (PSO). The fusion is performed at the score level using belief functions such as Dempster Shafer, Yager, Proportional Conflict Redistribution and Dezert-Smarandache hybrid rules.

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47

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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48

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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49

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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50

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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