An Improved Close Value Method for Multi-Sensor Object Recognition

Abstract

Multi-sensor information fusion problem contains many characteristic indexes, and thus it can be resolved using a multi-attribute decision making method. Information entropy is used to objectively determine the attributes weights, and thus it can overcome the subjective randomness. The aim of this paper is to develop a new multi-sensor object recognition method based on close value method. The example of part recognition proves that the proposed method is both feasible and effective.