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Transactions On Rough Sets V at Meripustak

Transactions On Rough Sets V by Editor-in-chief James F. Peters , Editor-in-chief Andrzej Skowron , Springer

Books from same Author: Editor-in-chief James F. Peters , Editor-in-chief Andrzej Skowron

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  • General Information  
    Author(s)Editor-in-chief James F. Peters , Editor-in-chief Andrzej Skowron
    PublisherSpringer
    ISBN9783540393825
    Pages507
    BindingPaperback
    LanguageEnglish
    Publish YearOctober 2006

    Description

    Springer Transactions On Rough Sets V by Editor-in-chief James F. Peters , Editor-in-chief Andrzej Skowron

    This book is dedicated to the monumental life, work and creative genius of Zdzislaw Pawlak, the originator of rough sets, who passed away in April 2006. It opens with a commemorative article that gives a brief coverage of Pawlaks works in rough set theory, molecular computing, philosophy, painting and poetry. Fifteen papers explore the theory of rough sets in various domains as well as new applications of rough sets._x000D_ _x000D_Commemoration.- Zdzis?aw Pawlak: Life and Work.- Regular Papers.- Rough Belief Change.- Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning.- Matching 2D Image Segments with Genetic Algorithms and Approximation Spaces.- An Efficient Algorithm for Inference in Rough Set Flow Graphs.- Intelligent Algorithms for Movie Sound Tracks Restoration.- Rough Set-Based Application to Recognition of Emotionally-Charged Animated Characters Gestures.- Introducing a Rule Importance Measure.- Variable Precision Bayesian Rough Set Model and Its Application to Kansei Engineering.- P300 Wave Detection Based on Rough Sets.- Multimodal Classification: Case Studies.- Arrow Decision Logic for Relational Information Systems.- On Generalized Rough Fuzzy Approximation Operators.- Rough Set Approximations in Formal Concept Analysis.- Motion-Information-Based Video Retrieval System Using Rough Pre-classification.- Dissertations and Monographs.- Approximate Boolean Reasoning: Foundations and Applications in Data Mining._x000D_



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