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Work Packages

  1. To investigate the properties of small and incomplete data and its data analysis requirements. To identify feasible conditions and parameters for applying each existing grey model to give a set of criteria for model selection and calibration.
  2. To establish multi-attribute decision theory and methods using grey numbers, including grey correlation, grey target, grey TOPSIS etc...
  3. To construct risk based grey target decision making models based on grey numbers, grey correlation theory and prospect theory. To develop a dynamic grey target decision making method for single decision maker. To investigate the information integration of group target decision-making. To extend grey decision models into fractional-order integrated grey decision making models using grey relations and grey clustering.
  4. To estimate the cost for R&D of complex products. To construct the reliability growth model for R&D of complex products.

 

Milestones

  1. A set of criteria for grey model selection and calibration.
  2. A new grey model with multi-variables and fractional-order derivatives.
  3. A new grey decision-making metohd based on grey information integration.
  4. A case study R&D of complex products managements using grey prediciton and grey decision making.

Deliverables

  1. Report for grey model selection and calibration.
  2. Report for a new grey model with multi-variables and fractional-order derivatives.
  3. Report for a grey decision making method based on grey information integration.
  4. Report for the application of Grey Systems to R&D management of complex products.
  5. Final report.
 
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