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Evaluation Methodology of C3I Information Fusion Based on Rough Set Theory

LIU Yun-xiang1,2,3, LIN Jia-jun2, OUYANG Dan-tong3   

  1. (1. Department of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai 200235, China;2. Institute of Automation, East China University of Science and Technology, Shanghai 200237, China;3. College of Computer Science and Technology, Jilin University, Changchun 130012, China)
  • Received:2005-09-22 Revised:1900-01-01 Online:2005-11-26 Published:2005-11-26
  • Contact: OUYANG Dan-tong

Abstract: The theories and methods of performance evaluation for multi-sensor data fusion system based on rough set theory were discussed. A information fusion performance criterion system was founded with C3I application as background. The evaluation process is similar to the decision process, the general way of integration system evaluation and the algorithm of assigning the weights to condition attributes with rough set are presented, and the method of dealing with information with missing data is given, too. In the meantime, a framework is presented for performance test and the evaluation of multi-sensor data fusion. Finally, the algorithm of information fusion and the choice of parameters can be directed by using software, and experimental results have revealed the efficiency of the method.

Key words: rough set theory, information fusion, performance evaluation, index weight

CLC Number: 

  • TP18