Fusing Uncertain, Imprecise and Paradoxist Information (DSmT)
Author(s): Stoyan Markov, Jean Dezert, Florentin Smarandache, Milan Daniel, Albena Tchamova, Frédéric Dambreville, Xinde Li, Xinhan Huang, Min Wang, Arnaud Martin, Christophe OsswaldEditor(s): Florentin Smarandache, Jean Dezert
Publisher(s): ProCon Ltd., Sofia, Bulgaria
Other issuing bodies: International Relations and Security Network (ISN), Zurich, Switzerland
Date of publication: 2006
Volume number: 20
Issue number: 0
Format: PDF
Pages: 143
URL: infosec.procon.bg
Series: Information & Security
Description: This publication examines the fusion of uncertain, imprecise and paradoxist sensor information. The first part is oriented to some theoretical advances of the Theory of Plausible and Paradoxical Reasoning. It offers an introduction to the fusion of quantitative and qualitative beliefs, a generalization of the classic combination rules to DSm hyper-power sets, and a new class of fusion rules based on T-Conorm and T-Norm fuzzy operators. The second part presents some applications of DSm theory, including ordered DSmT and its application to the definition of continuous DSm models, robot map building from sonar sensors and DSmT and human expert fusion for image classification.
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Chapter/Sections:
- Editorial: Fusing Uncertain, Imprecise and Paradoxist Information (DSmT)
- Introduction to the Fusion of Quantitative and Qualitative Beliefs
- Generalization of the Classic Combination Rules to DSm Hyper-Power Sets
- A New Class of Fusion Rules Based on T-Conorm and T-Norm Fuzzy Operators
- Ordered DSmT and its Application to the Definition of Continuous DSm Models
- Robot Map Building From Sonar Sensors and DSmT
- Human Expert Fusion for Image Classification
- I&S Resources
