Novel Method of the Combination of Forecasts Based on Rough Sets
Eslam Faik Ahmed, Wang Jia Yang and Maan Younis Abdullah
DOI : 10.3844/jcssp.2009.440.444
Journal of Computer Science
Volume 5, Issue 6
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.
© 2009 Eslam Faik Ahmed, Wang Jia Yang and Maan Younis Abdullah. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.