文章基本信息

标题：Novel Method of the Combination of Forecasts Based on Rough Sets
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作者：Ahmed, Eslam Faik ; Yang, Wang Jia ; Abdullah, Maan Younis 等
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2009
卷号：5
期号：6
页码：440-444
DOI：10.3844/jcssp.2009.440.444
出版社：Science Publications
摘要：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.
关键词：Rough set; Combination forecasting; AHP