Retraction Note to: Towards the Convergence in Fuzzy Cognitive Maps Based Decision-Making Models

2018 ◽  
pp. E1-E1
Author(s):  
Leonardo Concepción ◽  
Gonzalo Nápoles ◽  
Isel Grau ◽  
Koen Vanhoof ◽  
Rafael Bello
Keyword(s):  
Decision Making ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Decision Making Models

scholarly journals A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition Based on Augmented Fuzzy Cognitive Maps

Engineering ◽  
2019 ◽  
Vol 5 (6) ◽  
pp. 1060-1076 ◽  
Author(s):  
Weichao Yue ◽  
Weihua Gui ◽  
Xiaofang Chen ◽  
Zhaohui Zeng ◽  
Yongfang Xie
Keyword(s):  
Decision Making ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Aluminum Fluoride ◽  
Knowledge Collaboration ◽  
Fluoride Addition

FUZZY COGNITIVE MAPS WITH GENETIC ALGORITHM FOR GOAL-ORIENTED DECISION SUPPORT

2004 ◽  
Vol 12 (supp02) ◽  
pp. 31-42 ◽  
Author(s):  
M. SHAMIM KHAN ◽  
SEBASTIAN KHOR ◽  
ALEX CHONG
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Genetic Algorithms ◽  
Decision Support ◽  
Directed Graphs ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Initial State ◽  
Initial Stimulus ◽  
Over Time

Fuzzy cognitive maps are signed directed graphs used to model the evolution of scenarios with time. FCMs can be useful in decision support for predicting future states given an initial state. Genetic algorithms (GA) are well-established tools for optimization. This paper concerns the use of FCMs in goal-directed analysis of scenarios for aiding decision making. A methodology for GA-based goal-directed analysis is presented. The search for the initial stimulus state, that over time leads to a target state of interest, is optimized using GA. This initial state found can be used to answer the question – what course of events leads to a certain state in a given scenario?

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