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书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems影响因子(影响力)




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems影响因子(影响力)学科排名




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems网络公开度




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems网络公开度学科排名




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems被引频次




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems被引频次学科排名




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems年度引用




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems年度引用学科排名




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems读者反馈




书目名称Granular, Soft and Fuzzy Approaches for Intelligent Systems读者反馈学科排名

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Evolving Possibilistic Fuzzy Modeling and Application in Value-at-Risk Estimationmarket risk. Computational experiments are conducted to evaluate ePFM for value-at-risk estimation using data of the main equity market indexes of United States (S&P 500) and Brazil (Ibovespa) from January 2000 to December 2012. Econometric models benchmarks such as GARCH and EWMA, and state of the

Agronomy

Using Similarity and Dissimilarity Measures of Binary Patterns for the Comparison of Voting Procedurby the particular voting procedures are represented as binary vectors. We use the Jaccard–Needham, Dice, Correlation, Yule, Russell–Rao, Sockal–Michener, Rodgers–Tanimoto, and Kulczyński measures of similarity and dissimilarity. This makes it possible to gain much insight into the similarity/dissimi

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