A Framework for a Novel Scalable FCM Learning Method

Wojciech Stach; Lukasz Kurgan; Witold Pedrycz

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Witold Pedrycz

University of Alberta

A Framework for a Novel Scalable FCM Learning Method

Article 2007 en

Authors

WS
Wojciech Stach
LK
Lukasz Kurgan
Witold Pedrycz
University of Alberta

Abstract

1 min read

Fuzzy Cognitive Maps (FCMs) are a handy method for dynamic systems modeling. A recently introduced RCGA learning method allows for establishing high-quality FCMs from historical data. The main drawback of this method is its scalability. In this paper, a framework for a novel scalable learning method for FCMs is introduced. 1. Background

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A Framework for a Novel Scalable FCM Learning Method

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