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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 Affordance Relations
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    Chapter 2 Discovering Concurrent Process Models in Data: A Rough Set Approach
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    Chapter 3 Intelligent Science
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    Chapter 4 Pattern Structures for Analyzing Complex Data
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    Chapter 5 Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
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    Chapter 6 Innovation Game as a Tool of Chance Discovery
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    Chapter 7 Rough Set Year in India 2009
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    Chapter 8 An Algebraic Semantics for the Logic of Multiple-Source Approximation Systems
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    Chapter 9 Towards an Algebraic Approach for Cover Based Rough Semantics and Combinations of Approximation Spaces
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    Chapter 10 New Approach in Defining Rough Approximations
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    Chapter 11 Rough Set Approximations Based on Granular Labels
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    Chapter 12 On a Criterion of Similarity between Partitions Based on Rough Set Theory
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    Chapter 13 On Rough Sets with Structures and Properties
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    Chapter 14 A Formal Concept Analysis Approach to Rough Data Tables
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    Chapter 15 Covering Based Approaches to Rough Sets and Implication Lattices
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    Chapter 16 A Logical Reasoning System of Before-after Relation Based on Bf-EVALPSN
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    Chapter 17 Some Proof Theoretic Results Depending on Context from the Perspective of Graded Consequence
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    Chapter 18 IQuickReduct: An Improvement to Quick Reduct Algorithm
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    Chapter 19 Dynamic Reduct from Partially Uncertain Data Using Rough Sets
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    Chapter 20 Approximation of Loss and Risk in Selected Granular Systems
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    Chapter 21 An Efficient Gene Selection Algorithm Based on Tolerance Rough Set Theory
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    Chapter 22 Rough Set Based Social Networking Framework to Retrieve User-Centric Information
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    Chapter 23 Use of Fuzzy Rough Set Attribute Reduction in High Scent Web Page Recommendations
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    Chapter 24 A Rough Sets Approach for Personalized Support of Face Recognition
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    Chapter 25 Taking Fuzzy-Rough Application to Mars
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    Chapter 26 Rough Image Colour Quantisation
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    Chapter 27 Part of Speech (POS) Tag Sets Reduction and Analysis Using Rough Set Techniques
  29. Altmetric Badge
    Chapter 28 More on Intuitionistic Fuzzy Soft Sets
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    Chapter 29 On Fuzzy Contra α-Irresolute Maps
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    Chapter 30 On Fuzzy Strongly α-I-Open Sets
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    Chapter 31 Lattice Structures of Rough Fuzzy Sets
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    Chapter 32 Analysis of Ergodicity of a Fuzzy Possibilistic Markov Model
  34. Altmetric Badge
    Chapter 33 A Fuzzy Random Variable Approach to Restructuring of Rough Sets through Statistical Test
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    Chapter 34 A New Approach for Solving Fuzzy Maximal Flow Problems
  36. Altmetric Badge
    Chapter 35 Peptic Ulcer Detection Using DNA Nanorobot Based on Fuzzy Logic Rules
  37. Altmetric Badge
    Chapter 36 Investigations on Benefits Generated By Using Fuzzy Numbers in A TOPSIS Model Developed For Automated Guided Vehicle Selection Problem
  38. Altmetric Badge
    Chapter 37 A Multi-criteria Interval-Valued Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method
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    Chapter 38 The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems
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    Chapter 39 Learning Player Behaviors in Real Time Strategy Games from Real Data
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    Chapter 40 An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques
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    Chapter 41 A Decision Making Model for Vendor-Buyer Inventory Systems
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    Chapter 42 Software Reliability Prediction Using Group Method of Data Handling
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    Chapter 43 Mining Temporal Patterns for Humanoid Robot Using Pattern Growth Method
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    Chapter 44 Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step
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    Chapter 45 Time Series Forecasting Using Hybrid Neuro-Fuzzy Regression Model
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    Chapter 46 A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions
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    Chapter 47 Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards
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    Chapter 48 Interval Set Cluster Analysis: A Re-formulation
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    Chapter 49 Rough Entropy Based k-Means Clustering
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    Chapter 50 Fast Single-Link Clustering Method Based on Tolerance Rough Set Model
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    Chapter 51 A Novel Possibilistic Fuzzy Leader Clustering Algorithm
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    Chapter 52 Projected Gustafson Kessel Clustering
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    Chapter 53 Improved Visual Clustering through Unsupervised Dimensionality Reduction
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    Chapter 54 An Improved Cluster Oriented Fuzzy Decision Trees
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    Chapter 55 Combining Naive-Bayesian Classifier and Genetic Clustering for Effective Anomaly Based Intrusion Detection
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    Chapter 56 Ant Colony Optimisation Classification for Gene Expression Data Analysis
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    Chapter 57 A Comparative Performance Analysis of Multiple Trial Vectors Differential Evolution and Classical Differential Evolution Variants
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    Chapter 58 Granular Computing for Text Mining: New Research Challenges and Opportunities
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    Chapter 59 Polarity Classification of Subjective Words Using Common-Sense Knowledge-Base
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    Chapter 60 A Weighted Hybrid Fuzzy Result Merging Model for Metasearch
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    Chapter 61 Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method
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    Chapter 62 A Comparative Study of Pattern Matching Algorithms on Sequences
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    Chapter 63 BPBM: An Algorithm for String Matching with Wildcards and Length Constraints
Attention for Chapter 33: A Fuzzy Random Variable Approach to Restructuring of Rough Sets through Statistical Test
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Chapter title
A Fuzzy Random Variable Approach to Restructuring of Rough Sets through Statistical Test
Chapter number 33
Book title
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Published in
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-10646-0_33
Book ISBNs
978-3-64-210645-3, 978-3-64-210646-0
Authors

Junzo Watada, Lee-Chuan Lin, Minji Qiang, Pei-Chun Lin

Editors

Hiroshi Sakai, Mihir Kumar Chakraborty, Aboul Ella Hassanien, Dominik Ślęzak, William Zhu

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Researcher 1 20%
Lecturer > Senior Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Engineering 2 40%
Computer Science 1 20%
Unknown 2 40%

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