Research Article Open Access

Novel Method of the Combination of Forecasts Based on Rough Sets

Eslam Faik Ahmed1, Wang Jia Yang1 and Maan Younis Abdullah1
  • 1 , Afganistan
Journal of Computer Science
Volume 5 No. 6, 2009, 440-444


Submitted On: 17 May 2009 Published On: 30 June 2009

How to Cite: Ahmed, E. F., Yang, W. J. & Abdullah, M. Y. (2009). Novel Method of the Combination of Forecasts Based on Rough Sets. Journal of Computer Science, 5(6), 440-444.


Problem statement: A study in Analytic Hierarchy Process (AHP) had shown the problem of quantify the qualitative and the side Combined. Approach: So that problems were better resolved. The rough sets theory and AHP was introduced in the study, furthermore, these were united to create a completely new method of combination forecasts. Results: The results of numerical examples were shown to illustrate the interval AHP models reflecting the uncertainty of evaluations in nature. Conclusion: Therefore our method can be analyzed in order to make the best decision-making and makes combination forecast more objective. Further, the proposed procedure generates a set of easily understood rules that can be readily applied in knowledge-based.

  • 2 Citations



  • Rough set
  • Combination forecasting
  • AHP