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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

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Cover of 'Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Flow Graphs and Decision Algorithms
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    Chapter 2 The Quotient Space Theory of Problem Solving
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    Chapter 3 Granular Computing
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    Chapter 4 Rough Sets: Trends and Challenges
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    Chapter 5 A New Development on ANN in China — Biomimetic Pattern Recognition and Multi Weight Vector Neurons
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    Chapter 6 On Generalizing Rough Set Theory
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    Chapter 7 Dual Mathematical Models Based on Rough Approximations in Data Analysis
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    Chapter 8 Knowledge Theory: Outline and Impact
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    Chapter 9 A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory
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    Chapter 10 Extracting Structure of Medical Diagnosis: Rough Set Approach
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    Chapter 11 A Kind of Linearization Method in Fuzzy Control System Modeling
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    Chapter 12 A Common Framework for Rough Sets, Databases, and Bayesian Networks
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    Chapter 13 Rough Sets, EM Algorithm, MST and Multispectral Image Segmentation
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    Chapter 14 Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with Words
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    Chapter 15 A New Rough Sets Model Based on Database Systems
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    Chapter 16 A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm
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    Chapter 17 Comparison of Conventional and Rough K-Means Clustering
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    Chapter 18 An Application of Rough Sets to Monk’s Problems Solving
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    Chapter 19 Pre-topologies and Dynamic Spaces
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    Chapter 20 Rough Sets and Gradual Decision Rules
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    Chapter 21 Explanation Oriented Association Mining Using Rough Set Theory
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    Chapter 22 Probabilistic Rough Sets Characterized by Fuzzy Sets
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    Chapter 23 A View on Rough Set Concept Approximations
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    Chapter 24 Evaluation of Probabilistic Decision Tables
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    Chapter 25 Query Answering in Rough Knowledge Bases
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    Chapter 26 Upper and Lower Recursion Schemes in Abstract Approximation Spaces
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    Chapter 27 Adaptive Granular Control of an HVDC System: A Rough Set Approach
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    Chapter 28 Rough Set Approach to Domain Knowledge Approximation
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    Chapter 29 Reasoning Based on Information Changes in Information Maps
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    Chapter 30 Characteristics of Accuracy and Coverage in Rule Induction
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    Chapter 31 Interpretation of Rough Neural Networks as Emergent Model
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    Chapter 32 Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection
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    Chapter 33 Conjugate Information Systems: Learning Cognitive Concepts in Rough Set Theory
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    Chapter 34 A Rule Induction Method of Plant Disease Description Based on Rough Sets
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    Chapter 35 Rough Set Data Analysis Algorithms for Incomplete Information Systems
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    Chapter 36 Inconsistency Classification and Discernibility-Matrix-Based Approaches for Computing an Attribute Core
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    Chapter 37 Multi-knowledge Extraction and Application
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    Chapter 38 Multi-rough Sets Based on Multi-contexts of Attributes
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    Chapter 39 Approaches to Approximation Reducts in Inconsistent Decision Tables
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    Chapter 40 Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model
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    Chapter 41 Approximate Reducts of an Information System
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    Chapter 42 A Rough Set Methodology to Support Learner Self-Assessment in Web-Based Distance Education
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    Chapter 43 A Synthesis of Concurrent Systems: A Rough Set Approach
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    Chapter 44 Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set Approach
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    Chapter 45 Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts
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    Chapter 46 Variable Precision Bayesian Rough Set Model
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    Chapter 47 Linear Independence in Contingency Table
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    Chapter 48 The Information Entropy of Rough Relational Databases
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    Chapter 49 A T-S Type of Rough Fuzzy Control System and Its Implementation
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    Chapter 50 Rough Mereology in Knowledge Representation
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    Chapter 51 Rough Set Methods for Constructing Support Vector Machines
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    Chapter 52 The Lattice Property of Fuzzy Rough Sets
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    Chapter 53 Querying Data from RRDB Based on Rough Sets Theory
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    Chapter 54 An Inference Approach Based on Rough Sets
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    Chapter 55 Classification Using the Variable Precision Rough Set
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    Chapter 56 An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRS β
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    Chapter 57 Application of Fuzzy Control Base on Changeable Universe to Superheated Steam Temperature Control System
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    Chapter 58 Application of Fuzzy Support Vector Machines in Short-Term Load Forecasting
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    Chapter 59 A Symbolic Approximate Reasoning
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    Chapter 60 Intuition in Soft Decision Analysis
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    Chapter 61 Ammunition Supply Decision-Making System Design Based on Fuzzy Control
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    Chapter 62 The Concept of Approximation Based on Fuzzy Dominance Relation in Decision-Making
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    Chapter 63 An Image Enhancement Arithmetic Research Based on Fuzzy Set and Histogram
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    Chapter 64 A Study on a Generalized FCM
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    Chapter 65 Fuzzy Multiple Synapses Neural Network and Fuzzy Clustering
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    Chapter 66 On Possibilistic Variance of Fuzzy Numbers
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    Chapter 67 Deductive Data Mining
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    Chapter 68 Information Granules for Intelligent Knowledge Structures
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    Chapter 69 Design and Implement for Diagnosis Systems of Hemorheology on Blood Viscosity Syndrome Based on GrC
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    Chapter 70 Granular Reasoning Using Zooming In & Out
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    Chapter 71 A Pure Mereological Approach to Roughness
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    Chapter 72 Knowledge Based Descriptive Neural Networks
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    Chapter 73 Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies
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    Chapter 74 Ant Colony Optimization for Navigating Complex Labyrinths
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    Chapter 75 An Improved Quantum Genetic Algorithm and Its Application
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    Chapter 76 Intelligent Generation of Candidate Sets for Genetic Algorithms in Very Large Search Spaces
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    Chapter 77 Fast Retraining of Artificial Neural Networks
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    Chapter 78 Fuzzy-ARTMAP and Higher-Order Statistics Based Blind Equalization
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    Chapter 79 Comparison of BPL and RBF Network in Intrusion Detection System
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    Chapter 80 Back Propagation with Randomized Cost Function for Training Neural Networks
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    Chapter 81 Selective Ensemble of Decision Trees
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    Chapter 82 A Maximal Frequent Itemset Algorithm
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    Chapter 83 On Data Mining for Direct Marketing
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    Chapter 84 A New Incremental Maintenance Algorithm of Data Cube
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    Chapter 85 Data Mining for Motifs in DNA Sequences
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    Chapter 86 Maximum Item First Pattern Growth for Mining Frequent Patterns
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    Chapter 87 Extended Random Sets for Knowledge Discovery in Information Systems
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    Chapter 88 Research on a Union Algorithm of Multiple Concept Lattices
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    Chapter 89 A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic
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    Chapter 90 An Improved Branch & Bound Algorithm in Feature Selection
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    Chapter 91 Classification of Caenorhabditis Elegans Behavioural Phenotypes Using an Improved Binarization Method
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    Chapter 92 Consensus versus Conflicts — Methodology and Applications
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    Chapter 93 Interpolation Techniques for Geo-spatial Association Rule Mining
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    Chapter 94 Imprecise Causality in Mined Rules
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    Chapter 95 Sphere-Structured Support Vector Machines for Multi-class Pattern Recognition
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    Chapter 96 HIPRICE-A Hybrid Model for Multi-agent Intelligent Recommendation
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    Chapter 97 A Database-Based Job Management System
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    Chapter 98 Optimal Choice of Parameters for a Density-Based Clustering Algorithm
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    Chapter 99 An Improved Parameter Tuning Method for Support Vector Machines
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    Chapter 100 Approximate Algorithm for Minimization of Decision Tree Depth
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    Chapter 101 Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure
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    Chapter 102 Hierarchical Clustering Algorithm Based on Neighborhood-Linked in Large Spatial Databases
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    Chapter 103 Unsupervised Learning of Pattern Templates from Unannotated Corpora for Proper Noun Extraction
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    Chapter 104 Approximate Aggregate Queries with Guaranteed Error Bounds
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    Chapter 105 Improving Classification Performance by Combining Multiple TAN Classifiers
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    Chapter 106 Image Recognition Using Adaptive Fuzzy Neural Network and Wavelet Transform
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    Chapter 107 SOM Based Image Segmentation
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    Chapter 108 User’s Interests Navigation Model Based on Hidden Markov Model
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    Chapter 109 Successive Overrelaxation for Support Vector Regression
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    Chapter 110 Statistic Learning and Intrusion Detection
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    Chapter 111 A New Association Rules Mining Algorithms Based on Directed Itemsets Graph
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    Chapter 112 A Distributed Multidimensional Data Model of Data Warehouse
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    Chapter 113 An Overview of Hybrid Possibilistic Reasoning
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    Chapter 114 Critical Remarks on the Computational Complexity in Probabilistic Inference
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    Chapter 115 Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks
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    Chapter 116 A Non-local Coarsening Result in Granular Probabilistic Networks
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    Chapter 117 Probabilistic Inference on Three-Valued Logic
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    Chapter 118 Multi-dimensional Observer-Centred Qualitative Spatial-temporal Reasoning
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    Chapter 119 Architecture Specification for Design of Agent-Based System in Domain View
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    Chapter 120 Adapting Granular Rough Theory to Multi-agent Context
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    Chapter 121 How to Choose the Optimal Policy in Multi-agent Belief Revision?
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    Chapter 122 Research of Atomic and Anonymous Electronic Commerce Protocol
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    Chapter 123 Colored Petri Net Based Attack Modeling
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    Chapter 124 Intelligent Real-Time Traffic Signal Control Based on a Paraconsistent Logic Program EVALPSN
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    Chapter 125 Transporting CAN Messages over WATM
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    Chapter 126 A Hybrid Intrusion Detection Strategy Used for Web Security
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    Chapter 127 Mining Sequence Pattern from Time Series Based on Inter-relevant Successive Trees Model
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Title
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
Published by
Springer Science & Business Media, May 2003
DOI 10.1007/3-540-39205-x
ISBNs
978-3-54-014040-5, 978-3-54-039205-7
Editors

Wang, Guoyin, Liu, Qing, Yao, Yiyu, Skowron, Andrzej

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Costa Rica 1 1%
Germany 1 1%
Portugal 1 1%
Brazil 1 1%
Egypt 1 1%
United States 1 1%
Unknown 77 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Student > Master 15 17%
Student > Doctoral Student 9 10%
Researcher 9 10%
Student > Bachelor 8 9%
Other 25 29%
Readers by discipline Count As %
Computer Science 55 64%
Engineering 10 12%
Business, Management and Accounting 6 7%
Unspecified 5 6%
Chemistry 2 2%
Other 8 9%