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Relevant bibliographies by topics / Dezert-Smarandache Theory (DSmT)

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Academic literature on the topic 'Dezert-Smarandache Theory (DSmT)'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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

1

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

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

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2

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

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

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

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

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4

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

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

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

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10

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

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

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Books on the topic "Dezert-Smarandache Theory (DSmT)"

1

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 (DSmT)"

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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 (DSmT)"

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Zhao, C. M., J. Wei, Z. G. Xing, and Z. Wei. "Application of DSmT in Facial Expression Recognition." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86635.

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As the sample in facial expression database is small, the influence of the environment and the actual expression image processing can cause face feature information uncertainty and conflict of different information. This paper presents how to solve the small sample problem and the fusion of global feature recognition results and local feature recognition results based on DSmT (Dezert-Smarandache Theory) by matlab, the results show that DSmT can better handle the face expression of uncertainty information and contradictory information than DST (Dempster-Shafer Theory), recognition effect has be

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2

Wu, Xiao-tian, Yong-kuo Liu, Zhen Liu, and Fei Xie. "Research on Simultaneous Faults Diagnosis for Nuclear Power Plant Based on Dezert-Smarandache Theory." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15906.

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Since the nuclear power plant is complex in structure and high-requirement in reliability, it is meaningful for the safety to build an intelligent faults diagnosis system. In recent years the Dezert-Smarandache Theory (DSmT) was put forward to relax the constraint of the exclusivity and provides a new way to deal with simultaneous and multiple faults. In this paper, a fusion model has been built and divided into three levels. The original data of the sensor has been decrease in data level. And then the BP neural network have been used for primary diagnosis and import the result to decision lev

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3

Ren, Jinshen, Botao Jiang, and Fuyu Zhao. "Simultaneous Fault Diagnosis of the Reactor Coolant System Based on the DSM Evidence Theory." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-16209.

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Fault diagnosis of nuclear power plant (NPP) has become a major research topic in ensuring the reliability and safety for the NPP operation. In the light of complexity and information uncertainty of nuclear reactor coolant system, some diagnosis techniques based on the multi-sensor information fusion theories have been widely used. As one part of the those theories, the Dempster-Shafer (D-S) theory excelled in demonstrating and combining uncertain information has witnessed a wide range of applications in the fault diagnosis fields. It can be inferred from the previous studies that the fault di

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