
Transactions on Rough Sets XV
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Content
- Title Page
- Preface
- Organizations
- Table of Contents
- Dynamic Rule-Based Similarity Modelfor DNA Microarray Data
- Introduction
- Preliminaries
- Similarity and Its Properties
- Motivations for Rule-Based Similarity
- Dynamic Rules-Based Similarity Model
- Performance of the Dynamic Rules-Based Similarity Model
- Conclusions and Directions for the Future
- References
- Multi-valued Approach to Near Set Theory
- Introduction
- Basic Concepts
- Multi-valued System for Near Set Theory
- New Approaches to Near Sets
- Conclusion
- References
- Perceptual Indiscernibility, Rough Sets, Descriptively Near Sets, and Image Analysis
- Introduction
- Related Works
- Preliminaries: Rough Sets and Perceptual Nearness of Sets
- Visual Rough Sets
- Tolerance Rough Sets
- Nearness of Sets
- Near Sets
- Perceptual Tolerance Relation
- Tolerance Near Sets
- Nearness Measure
- Finding Classes
- Digital Image Features
- Normalized RGB
- Entropy
- Mean Shift Segmentation Algorithm
- Multiscale Edge Detection
- Grey Level Co-occurrence Matrices
- Zernike Moments
- CIELUV Colour Space
- Application of Near Sets
- Perceptual Image Analysis
- Initial Results
- Parameter Adjustment
- Other Measures
- SIMPLIcity Image Database
- Discussion
- Future Work
- Conclusion
- References
- Dialectics of Counting and the Mathematics of Vagueness
- Introduction
- Some Background, Terminology
- Semantic Domains, Meta and Object Levels
- Granules and Concepts
- Contamination Problem
- Formalism Compatibility and Mereology
- Motivating Examples for RYS
- Objectivity of Measures and General RST
- Numbers and Their Generalization
- Granules: An Axiomatic Approach
- Concepts of Discernibility
- Relative- and Multi-granulation
- Relation-Based Rough Set Theory
- Tolerance Spaces
- Cover-Based Rough Set Theory
- Classification of Rough Set Theory
- Dialectical Counting, Measures
- Generalized Measures
- Rough Inclusion Functions
- On Representation of Counts
- Representation of IPC
- Semantics from Dialectical Counting
- Rough Entanglement: Granular HPC
- Connections between Fuzzy and Rough Sets
- Operations on Low-Level Rough Naturals
- Further Directions: Conclusion
- References
- Author Index
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