Comparison of Mamdani and Sugeno Methods for Modeling Visual Perception Lab Data

摘要

A laboratory test procedure is described by the authors in which a baseline Light Armored Vehicle (LAV) is compared to a treated LAV in the TARDEC Visual Perception Laboratory (VPL). The test imagery was collected from the field and then adjusted for display in the laboratory. The experimental visual detection values obtained in the lab were modeled using the Mamdani and Sugeno/ANFIS Fuzzy Reasoning techniques. The results of each modeling approach are compared to the experimental detection values obtained in the laboratory.