粗集与当前计算趋势: RSCTC 2006/会议录 Rough sets and current trends in computing

分类: 图书,计算机/网络,计算机理论,
作者: Salavatore Greco,Yukata Hata,Shoji Hirano 著
出 版 社: 湖南文艺出版社
出版时间: 2006-12-1字数:版次: 1页数: 951印刷时间: 2006/12/01开本:印次:纸张: 胶版纸I S B N : 9783540476931包装: 平装编辑推荐
The LNAI series reports state-of-the-art results in artificial intelligence re-search, 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, LNAI has grown into the most comprehensive artificial intelligence research forum available.
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proceedings (published in time for the respective conference);
post-proceedings (consisting of thoroughly revised final full papers);
research monographs (which may be based on PhD work).
内容简介
This book constitutes the refereed proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006, held in Kobe, Japan in November 2006.
The 91 revised full papers presented together with 5 invited papers and 2 commemorative papers were carefully reviewed and selected from 332 submissions. The papers are organized in topical sections on logics in rough sets, logics in fuzzy sets, fuzzy-rough hybridization, approximate and uncertain reasoning, variable precision rough set models, incomplete/nondeterministic information systems, decision support, multi-criteria decision support, rough sets in KDD, rough sets in medicine, granular computing, grey systems, ontology and mereology, statistical methods, machine learning, clustering, data mining, evolutionary computing, intelligent information systems, pattern recognition and image processing, as well as data clustering: algorithms and applications.
目录
Invited Papers
Decision Trees and Flow Graphs
Granular Computing - The Concept of Generalized Constraint-Based Computation
Bipolar Representations in Reasoning, Knowledge Extraction and Decision Processes
Kansei Engineering and Rough Sets Model
Stochastic Approach to Rough Set Theory
Commemorative Papers for Professor Pawlak
Zdzistaw Pawlak Commemorating His Life and Work
Pawlak Rough Set Model, Medical Reasoning and Rule Mining
Logics in Rough Sets
Algebras of Terms in Pawlak's Information Systems
Monads Can Be Rough
On Testing Membership to Maximal Consistent Extensions of Information Systems
The Research of Rough Sets in Normed Linear Space
Two Kinds of Rough Algebras and Brouwer-Zadeh Lattices
Logics in Fuzzy Sets
Balanced Fuzzy Gates
Triangle Algebras: Towards an Axiomatization of Interval-Valued Residuated Lattices
Fuzzy-Rough Hybridization
An Approach to Parameterized Approximation of Crisp and Fuzzy Sets
Rough Fuzzy Set Approximations in Fuzzy Formal Contexts
Webpage Classification with ACO-Enhanced Fuzzy-Rough Feature Selection
Approximate and Uncertain Reasoning
Association Reducts: Complexity and Heuristics
Planning Based on Reasoning About Information Changes
Rough Approximation Operators in Covering Approximation Spaces
Variable Precision Rough Set Models
A New Method for Discretization of Continuous Attributes Based on VPRS
……
Incomplete/Nondeterministic Information Systems
Decision Support
Multi-criteria Decision Support
Rough Sets in KDD
Rough Sets in Medicine
Granular Computing
Grey Systems
Ontology and Mereology
Statistical Mathods
Machine Learning
Clustering
Data Mining
Evolutionary Computing
Intelligent Information Systems
Pattern Recognition and Image Processing
Data Clustering:Algorithms and Applications(Organized Session)
Author Index