粗糙集與知識(shí)技術(shù)Rough sets and knowledge technology

內(nèi)容概要

The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic  form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available.    The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes.    -proceedings(published in time for the respective conference)    -post-proceedings(consisting of thoroughly revised final full papers)    -research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.).

書(shū)籍目錄

Commemorative Paper　Some Contributions by Zdzistaw PawlakKeynote Papers　Conflicts and Negotations　Hierarchical Machine Learning  A Learning Methodology Inspired by Human Intelligence　Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation　Towards Network AutonomyPlenary Papers　A Roadmap from Rough Set Theory to Granular Computing　Partition Dependencies in Hierarchies of Probabilistic Decision Tables　Knowledge Theory and Artificial Intelligence　Applications of Knowledge Technologies to Sound and Vision Engineering　A Rough Set Approach to Data with Missing Attribute Values　Cognitive Neuroscience and Web Intelligence　Cognitive Informatics and Contemporary Mathematics for Knowledge Manipulation　Rough Mereological Reasoning in Rough Set Theory: Recent Results and Problems　Theoretical Study of Granular Computing　Knowledge Discovery by Relation Approximation: A Rough Set Approach Rough Computing　Reduction-Based Approaches Towards Constructing Galois (Concept) Lattices　A New Discernibility Matrix and Function　The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model　On Axiomatic Characterization of Approximation Operators Based on Atomic Boolean Algebras　Rough Set Attribute Reduction in Decision Systems　A New Extension Model of Rough Sets Under Incomplete Information　Applying Rough Sets to Data Tables Containing Possibilistic Information　Redundant Data Processing Based on Rough-Fuzzy　……Evolutionary Computing Fuzzy SetsGranular Computing Neural Computing Machine Learning and KDDLogics and Reasoning Multiagent Systems and Web IntelligencePattern Recognition System Engineering and Description Real-Life Applications Based on Knowledge Technology Author Index

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