@article {10.3844/jcssp.2009.440.444,
article_type = {journal},
title = {Novel Method of the Combination of Forecasts Based on Rough Sets},
author = {Ahmed, Eslam Faik and Yang, Wang Jia and Abdullah, Maan Younis},
volume = {5},
number = {6},
year = {2009},
month = {Jun},
pages = {440-444},
doi = {10.3844/jcssp.2009.440.444},
url = {https://thescipub.com/abstract/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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}