TY  - JOUR
AU  - Ahmed, Eslam Faik 
AU  - Yang, Wang Jia 
AU  - Abdullah, Maan Younis 
PY  - 2009
TI  - Novel Method of the Combination of Forecasts Based on Rough Sets
JF  - Journal of Computer Science
VL  - 5
IS  - 6
DO  - 10.3844/jcssp.2009.440.444
UR  - https://thescipub.com/abstract/jcssp.2009.440.444
AB  - 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.