Rough-Neural Computing Techniques for Computing with Words

Rough-Neural Computing Techniques for Computing with Words / edited by Sankar Kumar Pal, Lech Polkowski.

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms. It is well understood now in the soft computing communit...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Pal, Sankar Kumar (Editor), Polkowski, Lech (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Cognitive Technologies,
Springer eBook Collection.
Subjects:
Artificial intelligence.
Pattern recognition.
Application software.
Optical data processing.
Mathematical logic.
Applied mathematics.
Engineering mathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1 Elementary Rough Set Granules: Toward a Rough Set Processor
  • 2 Rough-Neural Computing: An Introduction
  • 3 Information Granules and Rough-Neural Computing
  • 4 A Rough-Neural Computation Model Based on Rough Mereology
  • 5 Knowledge-Based Networking in Granular Worlds
  • 6 Adaptive Aspects of Combining Approximation Spaces
  • 7 Algebras from Rough Sets
  • 8 Approximation Transducers and Trees: A Technique for Combining Rough and Crisp Knowledge
  • 9 Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge Databases
  • 10 On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set Analysis
  • 11 New Fuzzy Rough Sets Based on Certainty Qualification
  • 12 Toward Rough Datalog: Embedding Rough Sets in Prolog
  • 13 On Exploring Soft Discretization of Continuous Attributes
  • 14 Rough-SOM with Fuzzy Discretization
  • 15 Biomedical Inference: A Semantic Model
  • 16 Fundamental Mathematical Notions of the Theory of Socially Embedded Games: A Granular Computing Perspective
  • 17 Fuzzy Games and Equilibria: The Perspective of the General Theory of Games on Nash and Normative Equilibria
  • 18 Rough Neurons: Petri Net Models and Applications
  • 19 Information Granulation in a Decision-Theoretical Model of Rough Sets
  • 20 Intelligent Acquisition of Audio Signals Employing Neural Networks and Rough Set Algorithms
  • 21 An Approach to Imbalanced Data Sets Based on Changing Rule Strength
  • 22 Rough-Neural Approach to Testing the Influence of Visual Cues on Surround Sound Perception
  • 23 Handwritten Digit Recognition Using Adaptive Classifier Construction Techniques
  • 24 From Rough through Fuzzy to Crisp Concepts: Case Study on Image Color Temperature Description
  • 25 Information Granulation and Pattern Recognition
  • 26 Computational Analysis of Acquired Dyslexia of Kanji Characters Based on Conventional and Rough Neural Networks
  • 27 WaRS: A Method for Signal Classification
  • 28 A Hybrid Model for Rule Discovery in Data
  • Author Index.

Similar Items