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Rough Sets and Current Trends in Computing

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Table of Contents

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    Book Overview
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    Chapter 1 Decision Trees and Flow Graphs
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    Chapter 2 Granular Computing – The Concept of Generalized Constraint-Based Computation
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    Chapter 3 Bipolar Representations in Reasoning, Knowledge Extraction and Decision Processes
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    Chapter 4 Kansei Engineering and Rough Sets Model
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    Chapter 5 Stochastic Approach to Rough Set Theory
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    Chapter 6 Zdzisław Pawlak Commemorating His Life and Work
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    Chapter 7 Pawlak Rough Set Model, Medical Reasoning and Rule Mining
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    Chapter 8 Algebras of Terms in Pawlak’s Information Systems
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    Chapter 9 Monads Can Be Rough
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    Chapter 10 On Testing Membership to Maximal Consistent Extensions of Information Systems
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    Chapter 11 The Research of Rough Sets in Normed Linear Space
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    Chapter 12 Two Kinds of Rough Algebras and Brouwer-Zadeh Lattices
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    Chapter 13 Balanced Fuzzy Gates
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    Chapter 14 Triangle Algebras: Towards an Axiomatization of Interval-Valued Residuated Lattices
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    Chapter 15 An Approach to Parameterized Approximation of Crisp and Fuzzy Sets
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    Chapter 16 Rough Fuzzy Set Approximations in Fuzzy Formal Contexts
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    Chapter 17 Webpage Classification with ACO-Enhanced Fuzzy-Rough Feature Selection
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    Chapter 18 Association Reducts: Complexity and Heuristics
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    Chapter 19 Planning Based on Reasoning About Information Changes
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    Chapter 20 Rough Approximation Operators in Covering Approximation Spaces
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    Chapter 21 A New Method for Discretization of Continuous Attributes Based on VPRS
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    Chapter 22 On Variable Consistency Dominance-Based Rough Set Approaches
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    Chapter 23 Variable-Precision Dominance-Based Rough Set Approach
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    Chapter 24 Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation
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    Chapter 25 Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values
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    Chapter 26 Expanding Tolerance RST Models Based on Cores of Maximal Compatible Blocks
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    Chapter 27 Local and Global Approximations for Incomplete Data
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    Chapter 28 Missing Template Decomposition Method and Its Implementation in Rough Set Exploration System
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    Chapter 29 On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems
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    Chapter 30 Generalized Conflict and Resolution Model with Approximation Spaces
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    Chapter 31 Rough Set Approach to Customer Satisfaction Analysis
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    Chapter 32 Utility Function Induced by Fuzzy Target in Probabilistic Decision Making
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    Chapter 33 Dominance-Based Rough Set Approach to Decision Involving Multiple Decision Makers
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    Chapter 34 Quality of Rough Approximation in Multi-criteria Classification Problems
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    Chapter 35 Rough-Set Multiple-Criteria ABC Analysis
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    Chapter 36 A Method of Generating Decision Rules in Object–Oriented Rough Set Models
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    Chapter 37 Knowledge Reduction in Set-Valued Decision Information System
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    Chapter 38 Local Reducts and Jumping Emerging Patterns in Relational Databases
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    Chapter 39 Mining Rough Association from Text Documents
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    Chapter 40 NetTRS – Induction and Postprocessing of Decision Rules
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    Chapter 41 Outlier Detection Based on Rough Membership Function
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    Chapter 42 An Approach to a Rough Set Based Disease Inference Engine for ECG Classification
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    Chapter 43 Attribute Selection for EEG Signal Classification Using Rough Sets and Neural Networks
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    Chapter 44 Automatic Planning of Treatment of Infants with Respiratory Failure Through Rough Set Modeling
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    Chapter 45 Developing a Decision Model for Asthma Exacerbations: Combining Rough Sets and Expert-Driven Selection of Clinical Attributes
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    Chapter 46 A GrC-Based Approach to Social Network Data Protection
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    Chapter 47 An Interpretation of Flow Graphs by Granular Computing
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    Chapter 48 Attribute Reduction Based on Granular Computing
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    Chapter 49 Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization
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    Chapter 50 Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms
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    Chapter 51 A Grey-Based Rough Set Approach to Suppliers Selection Problem
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    Chapter 52 A Hybrid Grey-Based Dynamic Model for International Airlines Amount Increase Prediction
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    Chapter 53 On the Combination of Rough Set Theory and Grey Theory Based on Grey Lattice Operations
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    Chapter 54 An Ontology-Based First-Order Modal Logic
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    Chapter 55 Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text
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    Chapter 56 On a Parthood Specification Method for Component Software
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    Chapter 57 Ontology Driven Concept Approximation
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    Chapter 58 A Statistical Method for Determining Importance of Variables in an Information System
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    Chapter 59 Distribution of Determinants of Contingency Matrix
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    Chapter 60 Interpretation of Contingency Matrix Using Marginal Distributions
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    Chapter 61 A Model of Machine Learning Based on User Preference of Attributes
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    Chapter 62 Combining Bi-gram of Character and Word to Classify Two-Class Chinese Texts in Two Steps
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    Chapter 63 Combining Monte Carlo Filters with Support Vector Machines for Option Price Forecasting
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    Chapter 64 Domain Knowledge Assimilation by Learning Complex Concepts
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    Chapter 65 Learning Compound Decision Functions for Sequential Data in Dialog with Experts
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    Chapter 66 Sampling of Virtual Examples to Improve Classification Accuracy for Nominal Attribute Data
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    Chapter 67 A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design
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    Chapter 68 A Partitive Rough Clustering Algorithm
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    Chapter 69 A Zone-Based Method for Selecting Clusterheads in Wireless Sensor Networks
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    Chapter 70 An Agglomerative Hierarchical Clustering by Finding Adjacent Hyper-Rectangles
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    Chapter 71 Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices
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    Chapter 72 Mining the Most Interesting Patterns from Multiple Phenotypes Medical Data
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    Chapter 73 Risk Mining: Mining Nurses’ Incident Factors and Application of Mining Results to Prevention of Incidents
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    Chapter 74 Rule Quality Measures in Creation and Reduction of Data Rule Models
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    Chapter 75 A Distributed Hybrid Heuristics of Mean Field Annealing and Genetic Algorithm for Load Balancing Problem
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    Chapter 76 Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm
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    Chapter 77 Identification and Speed Control of Ultrasonic Motors Based on Modified Immune Algorithm and Elman Neural Networks
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    Chapter 78 A Hybrid and Intelligent System for Predicting Lot Output Time in a Semiconductor Fabrication Factory
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    Chapter 79 Combining SOM and GA-CBR for Flow Time Prediction in Semiconductor Manufacturing Factory
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    Chapter 80 Developing Intelligent Applications in Social E-Mail Networks
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    Chapter 81 Functional Extension of the RSDS System
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    Chapter 82 Hybrid Music Filtering for Recommendation Based Ubiquitous Computing Environment
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    Chapter 83 A Novel Color Image Watermarking Method Based on Genetic Algorithm and Hybrid Neural Networks
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    Chapter 84 Calibration of Omnidirectional Camera by Considering Inlier Distribution
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    Chapter 85 Modified Hough Transform for Images Containing Many Textured Regions
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    Chapter 86 Relative Color Polygons for Object Detection and Recognition
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    Chapter 87 Rough Set Based Image Segmentation of Video Sequences
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    Chapter 88 Two Dimensional Laplacianfaces Method for Face Recognition
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    Chapter 89 Unsupervised Learning of Image Recognition with Neural Society for Clustering
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    Chapter 90 A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering
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    Chapter 91 A Fuzzy Neighborhood Model for Clustering, Classification, and Approximations
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    Chapter 92 A Proposal for Comparison of Impression Evaluation Data Among Individuals by Using Clustering Method Based on Distributed Structure of Data
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    Chapter 93 Extending Microaggregation Procedures for Time Series Protection
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    Chapter 94 Lattice-Valued Hierarchical Clustering for Analyzing Information Systems
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    Chapter 95 Postsupervised Hard c -Means Classifier
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    Chapter 96 Rule Induction Via Clustering Decision Classes
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    Chapter 97 Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering
Overall attention for this book and its chapters
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Title
Rough Sets and Current Trends in Computing
Published by
Springer Berlin Heidelberg, November 2006
DOI 10.1007/11908029
ISBNs
978-3-54-047693-1, 978-3-54-049842-1
Editors

Greco, Salvatore, Hata, Yutaka, Hirano, Shoji, Inuiguchi, Masahiro, Miyamoto, Sadaaki, Nguyen, Hung Son, Słowiński, Roman

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The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 25%
United States 1 25%
Unknown 2 50%

Demographic breakdown

Readers by professional status Count As %
Professor 2 50%
Student > Ph. D. Student 2 50%
Readers by discipline Count As %
Computer Science 3 75%
Agricultural and Biological Sciences 1 25%