Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam

Table of Contents

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   Book Overview
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   Chapter 1 From Logic to Computer Science – A Personal Experience
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   Chapter 2 Knowledge Algebras and Their Discrete Duality
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   Chapter 3 Comparison of Greedy Algorithms for Decision Tree Optimization
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   Chapter 4 A Review of the Knowledge Granulation Methods: Discrete vs. Continuous Algorithms
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   Chapter 5 Game-Theoretic Rough Sets for Feature Selection
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   Chapter 6 A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance
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   Chapter 7 Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach
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   Chapter 8 Incorporating Rough Data in Database Design for Imprecise Information Representation
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    Chapter 9 Rough Pragmatic Description Logic
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    Chapter 10 Application of Rough Set Theory to Sentiment Analysis of Microblog Data
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    Chapter 11 Relationships for Cost and Uncertainty of Decision Trees
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    Chapter 12 The Impact Rules of Recommendation Sources for Adoption Intention of Micro-blog Based on DRSA with Flow Network Graph
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    Chapter 13 Providing Feedback in Ukrainian Sign Language Tutoring Software
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    Chapter 14 Hybrid Methods in Data Classification and Reduction
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    Chapter 15 Uncertainty Problem Processing with Covering Generalized Rough Sets
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    Chapter 16 Hardware Implementations of Rough Set Methods in Programmable Logic Devices
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    Chapter 17 Determining Cosine Similarity Neighborhoods by Means of the Euclidean Distance
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    Chapter 18 Time Variability-Based Hierarchic Recognition of Multiple Musical Instruments in Recordings
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    Chapter 19 Unifying Variable Precision and Classical Rough Sets: Granular Approach
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    Chapter 20 Fuzzy Hybrid MCDM for Building Strategy Forces
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    Chapter 21 Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance
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    Chapter 22 Towards Logics of Some Rough Perspectives of Knowledge
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    Chapter 23 Classifiers Based on Nondeterministic Decision Rules
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    Chapter 24 Approximation and Rough Classification of Letter-Like Polygon Shapes
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    Chapter 25 Rough Set-Based Identification of Heart Valve Diseases Using Heart Sounds
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    Chapter 26 Rough Sets and Neuroscience
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    Chapter 27 Knowledge Representation and Automated Methods of Searching for Information in Bibliographical Data Bases: A Rough Set Approach
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    Chapter 28 Design and Verification of Rule-Based Systems for Alvis Models
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    Chapter 29 On Objective Measures of Actionability in Knowledge Discovery
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    Chapter 30 Pseudometric Spaces from Rough Sets Perspective