The Dynamic Extensions of Fuzzy Grey Cognitive Maps

Chen, Jun; Gao, Xudong; Rong, Jia; Gao, Xiaoguang

doi:10.1109/access.2021.3096058

Cited by 4 publications

(2 citation statements)

References 53 publications

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“…Therefore, many scholars have considered using non-heuristic learning algorithms to learn FCMs. Some scholars have already tried to use gradient descent to learn FCMs [11], but their proposed method requires data after each iteration as labels, while usually, the data of complex systems, in reality, are only the final output results of the system, for the intermediate process data, it is almost difficult to obtain, so such a gradient descent method is difficult to get realistic applications.…”

Section: The Learning Algorithm Of Fcmmentioning

confidence: 99%

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A situation awareness assessment method based on fuzzy cognitive maps

Chen

Gao

Rong

et al. 2022

J. of Syst. Eng. Electron.

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The status of an operator's situation awareness is one of the critical factors that influence the quality of the missions. Thus the measurement method of the situation awareness status is an important topic to research. So far, there are lots of methods designed for the measurement of situation awareness status, but there is no model that can measure it accurately in real-time, so this work is conducted to deal with such a gap. Firstly, collect the relevant physiological data of operators while they are performing a specific mission, simultaneously, measure their status of situation awareness by using the situation awareness global assessment technique (SAGAT), which is known for accuracy but cannot be used in real-time. And then, after the preprocessing of the raw data, use the physiological data as features, the SAGAT 's results as a label to train a fuzzy cognitive map (FCM), which is an explainable and powerful intelligent model. Also, a hybrid learning algorithm of particle swarm optimization (PSO) and gradient descent is proposed for the FCM training. The final results show that the learned FCM can assess the status of situation awareness accurately in real-time, and the proposed hybrid learning algorithm has better efficiency and accuracy.

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Section: The Learning Algorithm Of Fcmmentioning

confidence: 99%

“…The reason for choosing the FCM as the model is its interpretability and ease to use [11]. FCM is a new kind of intelligent model, it looks like a neural network, but it supports the circle causality [12].…”

Section: Introductionmentioning

confidence: 99%

A situation awareness assessment method based on fuzzy cognitive maps

Chen

Gao

Rong

et al. 2022

J. of Syst. Eng. Electron.

Self Cite

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Fuzzy Cognitive Maps, Extensions and Applicability as an Explanatory Artificial Intelligence Model

Ruiz,

Piñero Pérez,

Pérez Pupo

et al. 2024

Studies in Computational Intelligence

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Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures

Karatzinis,

Apostolikas,

Boutalis

et al. 2023

Int. J. Fuzzy Syst.

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Fuzzy cognitive networks (FCNs) arose from traditional fuzzy cognitive maps (FCMs) to have the advantage of guaranteed convergence to equilibrium points, thus being more suitable than conventional FCMs for a variety of pattern recognition and system identification tasks. Moreover, recent developments led to FCNs with functional weights (FCNs-FW), as a significant FCNs enhancement in terms of storage requirements, efficiency and less human intervention requirements. In this paper we proceed further by introducing hybrid deep learning structures, interweaving FCNs-FW with well established deep neural network (DNN) representative structures and apply the new schemes on a variety of pattern recognition and time series prediction tasks. More specifically, after discussing general issues related to the construction of deep learning structures using FCNs-FW we present three hybrid models, which combine the FCN-FW with convolutional neural networks (CNNs), echo state networks (ESNs) and AutoEncoder (AE) schemes, respectively. The hybrid schemes are tested on diverse benchmark data sets and prove that FCN-FW based hybrid schemes perform equally well or better than state-of-the-art DNN-based schemes, paving thus the way for using cognitive networks to deep learning representative structures.

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The Dynamic Extensions of Fuzzy Grey Cognitive Maps

Cited by 4 publications

References 53 publications

A situation awareness assessment method based on fuzzy cognitive maps

A situation awareness assessment method based on fuzzy cognitive maps

Fuzzy Cognitive Maps, Extensions and Applicability as an Explanatory Artificial Intelligence Model

Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures

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