LiU Electronic Press
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Author:
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Kachniarz, Jaroslaw ( Soft Computer Consultants, USA)
Szalas, Andrzej (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Title:
Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge Databases
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Chapter in book (Other academic)
Language:
English
In:
Rough-Neural Computing: Techniques for Computing with Words
Editor:
Andrzej Skowron,Lech Polkowski ,Sankar K Pal
Publisher: Springer
Series:
Cognitive Technologies, ISSN 1611-2482
Pages:
219-250
Year of publ.:
2004
URI:
urn:nbn:se:liu:diva-22953
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-22953
ISBN:
978-3-540-43059-9, 35-4043-059-8
Local ID:
2323
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

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 community that hybrid approaches combining various paradigms provide very promising attempts to solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neurocomputing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

Available from:
2009-10-07
Created:
2009-10-07
Last updated:
2013-11-12
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