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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Bargiela, Andrzej (Επιμελητής έκδοσης), Pedrycz, Witold (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Computational Intelligence, 182
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.