An intelligent approach for sensor integration based on fuzzy set theory and Dempster's rule for combining beliefs
Hassan Hassan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
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.