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Human-Centric Information Processing Through Granular Modelling
The idea of Human-Centric Information Processing was prompted by the pioneering work of Zadeh Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic (1997). Since the publication of this work, a large number of researchers have focused on identifying...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Studies in Computational Intelligence,
182 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Rough-Granular Computing in Human-Centric Information Processing
- Integrative Levels of Granularity
- Affinities between Perceptual Granules: Foundations and Perspectives
- Concept Granular Computing Based on Lattice Theoretic Setting
- Interpretability of Fuzzy Information Granules
- Semantic Driven Fuzzy Clustering for Human-Centric Information Processing Applications
- Many-Valued Logic Tools for Granular Modeling
- Type-2 Fuzzy Logic and the Modelling of Uncertainty in Applications
- Interval Type-2 Fuzzy Logic Applications
- Processing of Information Microgranules within an Individual's Society
- Autonomous Composition of Fuzzy Granules in Ambient Intelligence Scenarios
- Information Processing in Biomedical Applications
- Gene Interactions Sub-networks and Soft Computing
- Uncertain Identification Problems in the Context of Granular Computing
- Visualizing Huge Image Databases by Formal Concept Analysis
- Artificial Dendritic Cells: Multi-faceted Perspectives.