Granular Computing and Intelligent Systems Design with Information Granules of Higher Order and Higher Type

From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order

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Artificial Intelligence Perspectives on Granular Computing

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Calculi of Approximation Spaces in Intelligent Systems     

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Feature Discovery through Hierarchies of Rough Fuzzy Sets        

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Comparative Study of Fuzzy Information Processing in Type-2 Fuzzy Systems

.-          Type-2 Fuzzy Similarity on Partial Truth and Intuitionistic Reasoning      

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Decision-Making with Second Order Information Granules          

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On the Usefulness of Fuzzy Rule Based

Systems based on Hierarchical Linguistic Fuzzy Partitions

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Fuzzy Information Granulation with Multiple Levels of Granularity         

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A Rough Set Approach to Building Association Rules and Its Applications         

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Fuzzy Modeling with Grey Prediction for Designing Power System Stabilizers

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A Weighted Fuzzy Time Series Based Neural Network Approach to Option Price Forecasting   

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A Rough Set Approach to Human Resource Development in IT Corporations

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Environmental Applications of Granular Computing and Intelligent Systems.