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.

• Periodical: Applied Mechanics and Materials (Volume 707)
• Pages: 487-490
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.707.487
• Online since: December 2014
• Authors: Chang Qing Zhang*
• Keywords: Close Value Method, Multi-Attribute Decision Making, Multi-Sensor Information Fusion

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