Guihuan Zheng

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Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has recently fascinated many researchers. In this paper, we consider a meta-heuristic of scatter search to solve the attribute reduction problem in rough set theory. The proposed method,(More)
XUN ZHANG∗,†, GUIHUAN ZHENG∗, WEI SHANG∗, SHANGYING XU∗, XIAOGUANG YANG∗, KIN KEUNG LAI‡ and SHOU-YANG WANG∗,§ ∗Academy of Mathematics and Systems Science Chinese Academy of Sciences, Beijing 100190, China †School of Mathematical Sciences Graduate University of Chinese Academy of Sciences Beijing 100190, China ‡Department of Management Sciences City(More)
Vector autoregressions are widely used in macroeconomic forecasting since they became known in the 1970s. Extensions including vector error correction models, co-integration and dynamic factor models are all rooted in the framework of vector autoregression. The three important extensions are demonstrated to have formal equivalence between each other. Above(More)
In this paper, a financial early warning information system is developed based on the multi-dimensional climate approach that is featured with a multi-dimensional index construction and the relevant multi-dimensional analysis. Requirement analysis and design issues of building an information system supporting this multi-dimensional climate approach are(More)
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