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

Author:   Witold Pedrycz ,  Shyi-Ming Chen
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2011 ed.
Volume:   13
ISBN:  

9783642268007


Pages:   308
Publication Date:   29 May 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type


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Author:   Witold Pedrycz ,  Shyi-Ming Chen
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2011 ed.
Volume:   13
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.486kg
ISBN:  

9783642268007


ISBN 10:   3642268005
Pages:   308
Publication Date:   29 May 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order .-          Artificial Intelligence Perspectives on Granular Computing .- Calculi of Approximation Spaces in Intelligent Systems      .-          Feature Discovery through Hierarchies of Rough Fuzzy Sets         .-          Comparative Study of Fuzzy Information Processing in Type-2 Fuzzy Systems .-          Type-2 Fuzzy Similarity on Partial Truth and Intuitionistic Reasoning       .-          Decision-Making with Second Order Information Granules           .-          On the Usefulness of Fuzzy Rule Based Systems based on Hierarchical Linguistic Fuzzy Partitions .-          Fuzzy Information Granulation with Multiple Levels of Granularity          .- A Rough Set Approach to Building Association Rules and Its Applications          .-          Fuzzy Modeling with Grey Prediction for Designing Power System Stabilizers .-          A Weighted Fuzzy Time Series Based Neural Network Approach to Option Price Forecasting    .-          A Rough Set Approach to Human Resource Development in IT Corporations .-          Environmental Applications of Granular Computing and Intelligent Systems.

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