AN ALGORITHM OF FUZZY INFERENCE SYSTEM FOR ISAR IMAGE CLASSIFICATION

Krasimir Slavyanov, Chavdar Minchev

Abstract


This article offers an original ISAR image classification procedure based on Mamdani fuzzy inference system (FIS) dedicated to compute multiple results each from different type of analyzing criteria. The modeling and information analysis of the FIS are developed to draw a general conclusion from several results each produced by classification from neural network. Simulation experiments are carried out in MATLAB environment.

Keywords


fuzzy inference system; membership function; fuzzy rule

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References


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DOI: http://dx.doi.org/10.17770/etr2017vol2.2599

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