Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/10154
Title: Reasoning with linguistic preferences using NPN logic
Authors: Devedzic G.
Milošević D.
Ivanović L.
Adamovic, Dragan
Manić M.
Journal: Computer Science and Information Systems
Issue Date: 1-Jun-2010
Abstract: Negative-positive-neutral logic provides an alternative framework for fuzzy cognitive maps development and decision analysis. This paper reviews basic notion of NPN logic and NPN relations and proposes adaptive approach to causality weights assessment. It employs linguistic models of causality weights activated by measurement-based fuzzy cognitive maps' concepts values. These models allow for quasi-dynamical adaptation to the change of concepts values, providing deeper understanding of possible side effects. Since in the real-world environments almost every decision has its consequences, presenting very valuable portion of information upon which we also make our decisions, the knowledge about the side effects enables more reliable decision analysis and directs actions of decision maker.
URI: https://scidar.kg.ac.rs/handle/123456789/10154
Type: Article
DOI: 10.2298/CSIS090223003D
ISSN: 18200214
SCOPUS: 77957015151
Appears in Collections:University Library, Kragujevac
[ Google Scholar ]

Page views(s)

41

Files in This Item:
File Description SizeFormat 
PaperMissing.pdf
  Restricted Access
29.86 kBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.