Analysis of an evolutionary algorithm for complex fuzzy cognitive map learning based on graph theory metrics and output concepts

Biosystems ◽  
2019 ◽  
Vol 179 ◽  
pp. 39-47 ◽  
Author(s):  
Katarzyna Poczeta ◽  
Łukasz Kubuś ◽  
Alexander Yastrebov
Keyword(s):  
Graph Theory ◽  
Evolutionary Algorithm ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Map Learning

Yield prediction in apples using Fuzzy Cognitive Map learning approach

2013 ◽  
Vol 91 ◽  
pp. 19-29 ◽  
Author(s):  
E.I. Papageorgiou ◽  
K.D. Aggelopoulou ◽  
T.A. Gemtos ◽  
G.D. Nanos
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Learning Approach ◽  
Yield Prediction ◽  
Map Learning

Online Fuzzy Cognitive Map Learning

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Kai Wu ◽  
Jing Liu ◽  
Penghui Liu ◽  
Fang Shen
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Map Learning

Evolutionary Algorithm Research Based on Neural Network for Fuzzy Cognitive Map

2012 ◽  
Vol 532-533 ◽  
pp. 1711-1715
Author(s):  
Ping Ping Liu ◽  
Ying Jun Hao
Keyword(s):  
Neural Network ◽  
Evolutionary Algorithm ◽  
Evolutionary Computation ◽  
Linear Mapping ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Causal Relationships ◽  
Dynamic Reasoning ◽  
Non Linear ◽  
Fuzzy Knowledge

Fuzzy Cognitive Map (FCM) fails to represent the measures of uncertain causal relationships, proposes an evolutionary algorithm Based on Neural Network for FCM. This algorithm integrates the high non-linear mapping ability of neural network and the globally optimizing ability of evolutionary computation to improve the dynamic reasoning for fuzzy knowledge.

A weight adaptation method for fuzzy cognitive map learning

2005 ◽  
Vol 9 (11) ◽  
pp. 846-857 ◽  
Author(s):  
Elpiniki I. Papageorgiou ◽  
Peter P. Groumpos
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Map Learning ◽  
Adaptation Method
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