Relevant bibliographies by topics / Dezert-Smarandache Theory

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  2. Books
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  4. Conference papers

Academic literature on the topic 'Dezert-Smarandache Theory'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Dezert-Smarandache Theory"

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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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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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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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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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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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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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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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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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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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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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Books on the topic "Dezert-Smarandache Theory"

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Florentin, Smarandache, and Dezert Jean, eds. Advances and applications of DSmT for information fusion: Collected works. American Research Press, 2004.

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Book chapters on the topic "Dezert-Smarandache Theory"

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Garcia, Esteban, and Leopoldo Altamirano. "Decision Level Multiple Cameras Fusion Using Dezert-Smarandache Theory." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74272-2_15.

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Quellec, Gwénolé, M. Lamard, G. Cazuguel, B. Cochener, and C. Roux. "Multimodal Medical Case Retrieval using Dezert-Smarandache Theory with A Priori Knowledge." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_171.

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Djiknavorian Pascal and Grenier Dominic. "Naval Ship Classification with Generalized Belief Functions Using a New Approximation Algorithm." In NATO Science for Peace and Security Series - D: Information and Communication Security. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-716-0-231.

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This research addresses the computational complexity of data fusion under the Dempster-Shafer mathematical theory of evidence as well as the Dezert-Smarandache theory. As earlier research has shown, the use of these theories results in better data fusion results. However utilization of these theories is hampered by computational complexity when dealing with large scale problems. This paper presents a new approximation algorithm allowing target classification and identification for a larger number of target classes with a reasonable execution time. The paper also presents the results of applica
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Davydenko, Yevhen, and Alyona Shved. "THE METHODOLOGY OF SYNTHESIS OF INFORMATION TECHNOLOGIES FOR DECISION SUPPORT UNDER COMPLEX FORMS OF IGNORANCE." In Theoretical and practical aspects of science development. Publishing House “Baltija Publishing”, 2023. http://dx.doi.org/10.30525/978-9934-26-355-2-11.

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An important problem of system analysis is the disclosure of uncertainties due to the variety of purposes, properties and features of the studied objects and processes. The analysis and management of various types of ignorance is of primary importance, since the processes of intelligent technologies creating always proceed under contradiction, incompleteness, inaccuracy, uncertainty connected with processes of obtaining and processing of datasets and expert knowledges. The purpose of the paper is to improve the theoretical and methodological foundations of the synthesis of information technolo
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Conference papers on the topic "Dezert-Smarandache Theory"

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Tchamova, A., T. Semerdjiev, and J. Dezert. "Estimation of target behavior tendencies using dezert-smarandache theory." In Proceedings of the Sixth International Conference of Information Fusion. IEEE, 2003. http://dx.doi.org/10.1109/icif.2003.177394.

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Quellec, Gwenole, Mathieu Lamard, Guy Cazuguel, Christian Roux, and Beatrice Cochener. "Multimodal medical case retrieval using the Dezert-Smarandache theory." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4649173.

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Zhao Xianzhang, Zeng Junfang, Gao Yibo, Guo Rui, and Yang Yiping. "Multi-ultrasonic sensor fusion based on Dezert-Smarandache theory." In International Technology and Innovation Conference 2006 (ITIC 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20061069.

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Jafari, Hossein, Xiangfang Li, and Lijun Qian. "Efficient Processing of Uncertain Data Using Dezert-Smarandache Theory: A Case Study." In 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)2016. IEEE, 2016. http://dx.doi.org/10.1109/dasc-picom-datacom-cyberscitec.2016.127.

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Quellec, G., M. Lamard, L. Bekri, G. Cazuguel, C. Roux, and B. Cochener. "Multimodal medical case retrieval using Bayesian networks and the Dezert-Smarandache theory." In 2008 IEEE International Symposium on Biomedical Imaging: From Macro to Nano (ISBI '08). IEEE, 2008. http://dx.doi.org/10.1109/isbi.2008.4540978.

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Sudha, P., and A. Murugan. "Detection of forest fire using Dezert-Smarandache theory in wireless sensor networks." In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE, 2017. http://dx.doi.org/10.1109/icpcsi.2017.8392122.

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Ye, Changrong, Guojun Li, Yang Bao, Jinliang Qiao, and Deping Zhang. "Multi-lead fusion detection of T-wave alternans using Dezert-Smarandache theory." In 2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017. http://dx.doi.org/10.23919/icif.2017.8009791.

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Su, Yanqin, Zhenyu Song, and Tingxue Xu. "One Fusion Approach of Fault Diagnosis Based on Rough Set Theory and Dezert-Smarandache Theory." In 2nd International Conference on Electronic and Mechanical Engineering and Information Technology. Atlantis Press, 2012. http://dx.doi.org/10.2991/emeit.2012.384.

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Haouas, Fatma, and Zouhour Ben Dhiaf. "New contributions into the Dezert-Smarandache theory: Application to remote sensing image classification." In 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR). IEEE, 2014. http://dx.doi.org/10.1109/socpar.2014.7008026.

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10

Huimin Chai. "A novel approach to evidence combination in battlefield situation assessment using Dezert-Smarandache theory." In 2013 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2013. http://dx.doi.org/10.1109/icmlc.2013.6890382.

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You might also be interested in the extended bibliographies on the topic 'Dezert-Smarandache Theory' for particular source types:
Journal articles
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