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                                       Details for article 4 of 5 found articles
 
 
  Rough-fuzzy-neurocomputing based on rough mereological calculus of granules
 
 
Title: Rough-fuzzy-neurocomputing based on rough mereological calculus of granules
Author: Lech Polkowski
Appeared in: International journal of hybrid intelligent systems
Paging: Volume 2 (2005) nr. 2 pages 91-108
Year: 2005-10-13
Contents: In this paper, we propose a scheme for merging rough, fuzzy, and cognitive (neural) computation methods. The underlying paradigm is that of rough mereology. Rough inclusions that are logical connectives of rough mereology allow for constructing granules of knowledge that constitute elementary objects for calculi merging rough, fuzzy and neural schemes. The presented scheme is based on mereological calculus of granules due to the author. The paper is intended as a research paper yet its aim is also to acquaint the reader with intuitions and motivations essential to the proposed approach. The idea that permeates the paper is that rough inclusions provide a bridge between rough and fuzzy theories linking them across the gap resulting from distinct approaches at uncertainty of knowledge.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 5 found articles
 
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