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Relevant bibliographies by topics / Proportional conflict redistribution (PCR)

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Academic literature on the topic 'Proportional conflict redistribution (PCR)'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Proportional conflict redistribution (PCR)"

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ABBAS, NASSIM, and YOUCEF CHIBANI. "SVM-DSmT COMBINATION FOR THE SIMULTANEOUS VERIFICATION OF OFF-LINE AND ON-LINE HANDWRITTEN SIGNATURES." International Journal of Computational Intelligence and Applications 11, no. 03 (2012): 1250018. http://dx.doi.org/10.1142/s1469026812500186.

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A combination handwritten signature verification system is proposed for managing conflicts provided from each individual off-line and on-line support vector machine (SVM), respectively. Basically, the system is divided into three parts: (i) Off-line verification system, (ii) on-line verification system and (iii) combination module using belief function theory. The proposed framework allows combining the normalized SVM outputs and uses an estimation technique based on the dissonant model of Appriou to compute the belief assignments. Combination is performed using belief models such as Dempster-

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Walia, Gurjit Singh, and Rajiv Kapoor. "Online Object Tracking via Novel Adaptive Multicue Based Particle Filter Framework for Video Surveillance." International Journal on Artificial Intelligence Tools 27, no. 06 (2018): 1850023. http://dx.doi.org/10.1142/s0218213018500239.

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Multicue based object tracking frameworks have been extensively explored due to their numerous applications in the field of computer vision. However, the online adaptive fusion of multicue under scale and illumination variations, partial or full occlusion, background clutters and object deformation remains an open challenge problem. In order to address this, we propose an online visual tracking algorithm using adaptive integration of multicue in a particle filter framework. The particle level fusion process is modelled as Shafer’s model with a power set defined over two focal elements. Partial

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Bartashevich, Palina, and Sanaz Mostaghim. "Multi-featured collective perception with Evidence Theory: tackling spatial correlations." Swarm Intelligence 15, no. 1-2 (2021): 83–110. http://dx.doi.org/10.1007/s11721-021-00192-8.

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AbstractCollective perception allows sparsely distributed agents to form a global view on a common spatially distributed problem without any direct access to global knowledge and only based on a combination of locally perceived information. However, the evidence gathered from the environment is often subject to spatial correlations and depends on the movements of the agents. The latter is not always easy to control and the main question is how to share and to combine the estimated information to achieve the most precise global estimate in the least possible time. The current article aims at an

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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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Alpert, Sofiia. "A new approach to the application of conflict redistribution rule in Satellite Image Classification." Ukrainian journal of remote sensing, no. 25 (June 25, 2020): 12–16. http://dx.doi.org/10.36023/ujrs.2020.25.171.

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Nowadays solution of different scientific problems using satellite images, generally includes a classification procedure. Classification is one of the most important procedures used in remote sensing, because it involves a lot of mathematical operations and data preprocessing. The processing of information and combining of conflicting data is a very difficult problem in classification tasks. Nowadays many classification methods are applied in remote sensing. Classification of conflicting data has been a key problem, both from a theoretical and practical point of view. But a lot of known classi

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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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Fu, Yaowen, and Wei Yang. "Combination Rule Based on Proportional Redistribution of Generalized Conflict for Evidence Theory." Chinese Journal of Electronics 23, no. 3 (2014): 533–38. https://doi.org/10.23919/cje.2014.10851200.

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Sumathi, B. "Enhance the Performance of Back Propagation Algorithm Using Proportional Conflict Redistribution Rule for the Diagnosis of Hypertension." International Journal of Computer Sciences and Engineering 6, no. 9 (2018): 215–19. http://dx.doi.org/10.26438/ijcse/v6i9.215219.

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Tchamova, Albena, Jean Dezert, Nadejda Bocheva, Pavlina Konstantinova, Bilyana Genova, and Miroslava Stefanova. "A Study on Human Learning Ability during Classification of Motion and Colour Visual Cues and Their Combination." Cybernetics and Information Technologies 21, no. 1 (2021): 73–86. http://dx.doi.org/10.2478/cait-2021-0006.

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Abstract The paper presents a study on the human learning process during the classification of stimuli, defined by motion and color visual cues and their combination. Because the classification dimension and the features that define each category are uncertain, we model the learning curves using Bayesian inference and more precisely the Normalized Conjunctive Consensus rule, and also on the base of the more efficient probabilistic Proportional Conflict Redistribution rule No 5 (pPCR5) defined within Dezert-Smarandache Theory (DSmT) of plausible and paradoxical reasoning. Our goal is to study h

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Liang, Wei Tai, Jian Gao, and Jin Pei Yang. "A Threat Sorting Approach Based on the Fuzzy Beliefs." Applied Mechanics and Materials 235 (November 2012): 111–16. http://dx.doi.org/10.4028/www.scientific.net/amm.235.111.

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To overcome the limitations of the traditional threat assessment algorithms, a new threat sorting approach based on the fuzzy belief is proposed in this paper. In the new approach, the threat degrees described by quantitative number, interval number or linguistic label are all converted into the triangular fuzzy beliefs. The proportional conflict redistribution rule is used to combine the threat degrees of the same kind of assessment factors, the decision discounting rule is used to combine the threat degrees of different kinds of assessment factors, and the centroid method is utilized to make

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Conference papers on the topic "Proportional conflict redistribution (PCR)"

1

Li Hongfei, Jin Hongbin, Tian Kangsheng, and Fei Xiaoyan. "Analysis and improvement for Proportional Conflict Redistribution rules." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5623181.

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Smarandache, F., and J. Dezert. "Information fusion based on new proportional conflict redistribution rules." In 2005 7th International Conference on Information Fusion. IEEE, 2005. http://dx.doi.org/10.1109/icif.2005.1591955.

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Dezert, Théo, and Jean Dezert. "Improvement of Proportional Conflict Redistribution Fusion Rules for Levee Characterization." In Proceedings of the 31st European Safety and Reliability Conference. Research Publishing Services, 2021. http://dx.doi.org/10.3850/978-981-18-2016-8_151-cd.

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Kangsheng, Tian, Li Hongfei, and Jin Hongbin. "Analysis and research of proportional conflict redistribution rules in identity identification." In 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497792.

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Mezai, Lamia, and Fella Hachouf. "Score level fusion algorithm using Differential Evolution and Proportional Conflict Redistribution rule." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844381.

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