An Evidential Fractal Analytic Hierarchy Process Target Recognition Method

Yuzhen Han; Yong Deng

doi:10.14429/dsj.68.11737

Yuzhen Han Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu
Yong Deng Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu

DOI: https://doi.org/10.14429/dsj.68.11737

Keywords: Fractal theory, Dempster-Shafer evidence theory, AHP, Belief function, Target recognition

Abstract

Target recognition in uncertain environments is a hot issue, especially in extremely uncertain situation where both the target attribution and the sensor report are not clearly represented. To address this issue, a model which combines fractal theory, Dempster-Shafer evidence theory and analytic hierarchy process (AHP) to classify objects with incomplete information is proposed. The basic probability assignment (BPA), or belief function, can be modelled by conductivity function. The weight of each BPA is determined by AHP. Finally, the collected data are discounted with the weights. The feasibility and validness of proposed model is verified by an evidential classifier case in which sensory data are incomplete and collected from multiple level of granularity. The proposed fusion algorithm takes the advantage of not only efficient modelling of uncertain information, but also efficient combination of uncertain information.

Author Biographies

Yuzhen Han, Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu

Mr Yuzhen Han is currently pursuing the bachelor’s degree with the School of Computer and Information Science, Southwest University. Presently working as a Research Assistant with the Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China. He is engaged in the research of information fusion and decision-making.

Yong Deng, Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu

Dr Yong Deng received PhD in precise instrumentation from Shanghai Jiao Tong University, Shanghai, China, in 2003. Presently working as a Professor with the Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, China. He has authored over 100 paper in referred journals. His research interests include : Evidence theory, decision making, information fusion, and complex system modelling.