Novel Method of the Combination of Forecasts Based on Rough Sets
Eslam Faik Ahmed, Wang Jia Yang & Maan Younis Abdullah
Journal of Computer Science, Volume 5, Issue 6, pp. 440–444 · doi.org/10.3844/jcssp.2009.440.444
Abstract
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.
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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. https://doi.org/10.3844/jcssp.2009.440.444
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