Journal of Systems Engineering and Electronics

• SYSTEMS ENGINEERING • Previous Articles     Next Articles

Equivalency and unbiasedness of grey prediction models

Bo Zeng1,2, Chuan Li3,*, Guo Chen4, and Xianjun Long5   

  1. 1. College of Business Planning, Chongqing Technology and Business University, Chongqing 400067, China;
    2. School of Management and Economics, University of Electronic Science and Technology, Chengdu 611731, China;
    3. Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control, Chongqing 400067, China;
    4. School of Electrical & Information Engineering, University of Sydney, Sydney 2006, Australia;
    5. College of Mathematics & Statistics, Chongqing Technology and Business University, Chongqing 400067, China
  • Online:2015-02-13 Published:2010-01-03

Abstract:

In order to deeply research the structure discrepancy and modeling mechanism among different grey prediction models, the equivalence and unbiasedness of grey prediction models are analyzed and verified. The results show that all the grey prediction models that are strictly derived from x(0)(k) + az(1)(k) = b have the identical model structure and simulation precision. Moreover, the unbiased simulation for the homogeneous exponential sequence can be accomplished. However, the models derived from dx(1)/dt + ax(1) = b are only close to those derived from x(0)(k)+az(1)(k) = b provided that |a| has to satisfy |a| < 0.1; neither could the unbiased simulation for the homogeneous exponential sequence be achieved. The above conclusions are proved and verified through some theorems and examples.

Key words: system modeling, grey prediction models, equivalency and unbiasedness