Journal ArticleDOI
Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network and Application in Prediction of Time Series
TLDR
A fuzzy neural network is proposed to enhance the learning ability of FCMs and incorporates the inference mechanism of conventional FCMs with the determination of membership functions, as well as the quantification of causalities.Abstract:
The fuzzy cognitive map (FCM) has gradually emerged as a powerful paradigm for knowledge representation and a simulation mechanism that is applicable to numerous research and application fields. However, since efficient methods to determine the states of the investigated system and to quantify causalities that are the very foundations of FCM theory are lacking, constructing FCMs for complex causal systems greatly depends on expert knowledge. The manually developed models have a substantial shortcoming due to the model subjectivity and difficulties with assessing its reliability. In this paper, we proposed a fuzzy neural network to enhance the learning ability of FCMs. Our approach incorporates the inference mechanism of conventional FCMs with the determination of membership functions, as well as the quantification of causalities. In this manner, FCM models of the investigated systems can automatically be constructed from data and, therefore, operate with less human intervention. In the employed fuzzy neural network, the concept of mutual subsethood is used to describe the causalities, which provides more transparent interpretation for causalities in FCMs. The effectiveness of the proposed approach in handling the prediction of time series is demonstrated through many numerical simulations.read more
Citations
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Journal ArticleDOI
A Review of Fuzzy Cognitive Maps Research During the Last Decade
TL;DR: This survey makes a review of the most recent applications and trends on fuzzy cognitive maps (FCMs) over the past decade, and summarizes the current state of knowledge of the topic of FCMs.
Journal ArticleDOI
Learning Algorithms for Fuzzy Cognitive Maps—A Review Study
TL;DR: A survey on recent advances on learning methodologies and algorithms for FCMs that present their dynamic capabilities and application characteristics in diverse scientific fields is established.
Journal ArticleDOI
A review on methods and software for fuzzy cognitive maps
TL;DR: A goal-driven overview of numerous theoretical developments recently reported in this area, and an overview of the existing software tools enabling the implementation of both existing FCM schemes as well as prospective theoretical and/or practical contributions.
Journal ArticleDOI
Review: Hybrid expert systems: A survey of current approaches and applications
TL;DR: The authors' results show an increase in the number of recent publications which is an indication of gaining popularity on the part of hybrid expert systems, mainly in neuro-fuzzy and rough neural expert systems' areas.
Journal ArticleDOI
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
TL;DR: It is concluded that the fuzzy neural network models and their derivations are efficient in constructing a system with a high degree of accuracy and an appropriate level of interpretability working in a wide range of areas of economics and science.
References
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Journal ArticleDOI
Cognitive maps in rats and men
TL;DR: Most of the rat investigations, which I shall report, were carried out in the Berkeley laboratory, and a few, though a very few, were even carried out by me myself.
Journal ArticleDOI
Fuzzy cognitive maps
TL;DR: A fuzzy causal algebra for governing causal propagation on FCMs is developed and it allows knowledge bases to be grown by connecting different FCMs.
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neural networks and fuzzy systems a dynamical systems approach to machine intelligence
TL;DR: This work combines neural networks and fuzzy systems, presenting neural networks as trainable dynamical systems and developing mechanisms and principles of adaption, self-organization, convergence and global stability.
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Structure of decision : the cognitive maps of political elites
TL;DR: In this paper, a new approach to the analysis of decision making based on "cognitive maps" is presented, where a cognitive map is a graphic representation intended to capture the structure of a decision maker's stated beliefs about a particular problem.
Journal ArticleDOI
DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction
Nikola Kasabov,Qun Song +1 more
TL;DR: It is demonstrated that DENFIS can effectively learn complex temporal sequences in an adaptive way and outperform some well-known, existing models.