Higher-order Fuzzy Cognitive Maps

FCMs are aimed at modeling and simulation of dynamic systems. They exhibit numerous advantages, such as model transparency, simplicity, and adaptability to a given domain, to name a few. FCMs have been applied to numerous industrial and research areas. In some cases generic FCMs suffer from a certai...

Full description

Saved in:
Bibliographic Details
Published inNAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society pp. 166 - 171
Main Authors Stach, W., Kurgan, L., Pedrycz, W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2006
Subjects
Application software
Computational modeling
Computer simulation
Environmental management
Failure analysis
Fuzzy cognitive maps
Mathematical programming
Operations research
Project management
Software development management
Online AccessGet full text

Cover

More Information
Summary:FCMs are aimed at modeling and simulation of dynamic systems. They exhibit numerous advantages, such as model transparency, simplicity, and adaptability to a given domain, to name a few. FCMs have been applied to numerous industrial and research areas. In some cases generic FCMs suffer from a certain drawback that originates from their definition and concerns a limited, first-order dynamics of processing realized at the nodes of the maps. In this study, we introduce a concept of higher-order memory based FCMs. The proposed extension modifies the simulation model of a generic FCM while it does not negatively impact transparency and simplicity of the model itself. We discuss several architectural alternatives along with the ensuing computing and optimization aspects. Preliminary experimental results included in this paper show superiority of the extended higher-order memory based FCMs over a generic FCM in terms of the modeling accuracy
ISBN:1424403626
9781424403622
DOI:10.1109/NAFIPS.2006.365402