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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (7): 2431-2443.doi: 10.7527/S1000-6893.2014.0299

• Electronics and Control • Previous Articles     Next Articles

Hybrid multiple attribute recognition based on coefficient of incidence bull's-eye-distance

GUAN Xin, SUN Guidong, YI Xiao, GUO Qiang   

  1. Department of Electronics and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Received:2014-07-24 Revised:2014-10-27 Online:2015-07-15 Published:2014-10-29
  • Supported by:

    National Natural Science Foundation of China (61032001); Program for New Century Excellent Talents in University of Ministry of Education of China (NCET-11-0872)

Abstract:

A hybrid multiple attribute recognition method based on coefficient of incidence bull's-eye-distance is proposed for the recognition and decision-making problem, that is, hybrid multiple attribute data of the real, interval and sequence number could not be recognized with the interval data in the database directly. The measurements for the hybrid multiple attribute data are determined and a novel grey target forming framework is presented, in which we use the coefficient of incidence of the hybrid multiple attribute data and the interval data as the recognition and decision-making matrix and the positive and negative clouts are formed based on it. Then we calculate distance of the each mode and the positive and negative clouts. Finally we discuss the shortcomings of the existing grey target decision-making methods and present a novel bull's-eye decision-making method for recognition with the bull's-eye-distance. With the multiple attribute recognition simulation experiment, we show the effectiveness of the proposed novel grey target recognition method and compare it with bull's-eye decision-making methods and the grey association recognition method, which underlines the good distinguishing performance and stability in recognition and decision-making.

Key words: target recognition, coefficient of incidence, bull's-eye-distance, bull's-eye decision, hybrid multiple attribute

CLC Number: