Dynamic Grey Relational Analysis (DGRA)

Dynamic Grey Relational Analysis (DGRA) is a critical improvement of the Grey Relational Analysis (GRA) formula.

Dynamic Grey Relational Analysis (DGRA) is a critical improvement of the Grey Relational Analysis (GRA) formula. In Deng’s GRA formula, there is a parameter called Distinguishing Coefficient. Scholars consider the value of this parameter 0.5 to calculate the GRA formula. However, we believe that any problem has its own value for Distinguishing Coefficient (Dynamic Distinguishing Coefficient), which should be calculated optimally. Therefore, DGRA is here to help you to overcome this barrier. The following studies are pioneers of this claim:

• Javed, S.A., Gunasekaran, A., & Mahmoudi, A. (2022). DGRA: Multi-sourcing and Supplier Classification through Dynamic Grey Relational Analysis Method. Computers & Industrial Engineering, 108674. https://doi.org/10.1016/j.cie.2022.108674
• Mahmoudi, A., Javed, S. A., Liu, S., & Deng, X. (2020). Distinguishing coefficient driven sensitivity analysis of GRA model for intelligent decisions: application in project management. Technological and Economic Development of Economy, 26(3), 621-641. https://doi.org/10.3846/tede.2020.11890

If you decide to use this MATLAB file, please kindly cite the above publications as well, which is an important step to encourage me to provide more free codes.

Useful websites:

• Ordinal Priority Approach (OPA): https://ordinalpriorityapproach.com
• Grey System Theory (GST): https://greysystem.org