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Proceedings Paper

An intelligent approach for sensor integration based on fuzzy set theory and Dempster's rule for combining beliefs
Author(s): Hassan Hassan
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Paper Abstract

Humans use variety of sensors, such as sight, hearing, touch, smell, and taste, to gather information from the environment and to make an appropriate decision accordingly. This paper introduces an intelligent model for combination of information collected from variety of sensors. The model input is data collected from multi-sensor framework and the output is a combined signature representing the factual evidence for decision-making process. The approach is based on Fuzzy Set Theory where membership sets are defined, then aggregated using Dempster-Shafer Theory of Evidence. The approach is demonstrated with examples.

Paper Details

Date Published: 12 April 2004
PDF: 10 pages
Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); doi: 10.1117/12.542494
Show Author Affiliations
Hassan Hassan, Lawrence Technological Univ. (United States)


Published in SPIE Proceedings Vol. 5434:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004
Belur V. Dasarathy, Editor(s)

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