Learning algorithms for fuzzy cognitive maps—a review study
EI Papageorgiou - IEEE Transactions on Systems, Man, and …, 2011 - ieeexplore.ieee.org
This study presents a survey on the most recent learning approaches and algorithms that
are related to fuzzy cognitive maps (FCMs). FCMs are cognition fuzzy influence graphs …
are related to fuzzy cognitive maps (FCMs). FCMs are cognition fuzzy influence graphs …
A review of fuzzy cognitive maps in medicine: Taxonomy, methods, and applications
A Amirkhani, EI Papageorgiou, A Mohseni… - Computer methods and …, 2017 - Elsevier
Background and Objective A high percentage of medical errors, committed because of
physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to …
physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to …
Genetic learning of fuzzy cognitive maps
Fuzzy cognitive maps (FCMs) are a very convenient, simple, and powerful tool for simulation
and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and …
and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and …
Circular bio-economy via energy transition supported by Fuzzy Cognitive Map modeling towards sustainable low-carbon environment
Several energy transition plans attempt to establish low-carbon practices towards a circular
bio-economy in order to reduce greenhouse gas emissions. However, most actions only try …
bio-economy in order to reduce greenhouse gas emissions. However, most actions only try …
Active Hebbian learning algorithm to train fuzzy cognitive maps
Fuzzy cognitive map is a soft computing technique for modeling systems, which combines
synergistically the theories of neural networks and fuzzy logic. Developing of fuzzy cognitive …
synergistically the theories of neural networks and fuzzy logic. Developing of fuzzy cognitive …
Wind power forecasting based on variational mode decomposition and high-order fuzzy cognitive maps
Accurate wind power forecasting can effectively reduce the adverse effects of wind power
forecasting errors on wind power grid integration and power dispatch. However, current …
forecasting errors on wind power grid integration and power dispatch. However, current …
Fuzzy cognitive maps in systems risk analysis: a comprehensive review
Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …
Learning fuzzy cognitive maps with modified asexual reproduction optimisation algorithm
This paper present a comparison between Fuzzy Cognitive Map (FCM) learning approaches
and algorithms. FCMs are fuzzy digraphs with weights and feedback loops, consisting of …
and algorithms. FCMs are fuzzy digraphs with weights and feedback loops, consisting of …
Risk assessment in discrete production processes considering uncertainty and reliability: Z-number multi-stage fuzzy cognitive map with fuzzy learning algorithm
M Abbaspour Onari, S Yousefi… - Artificial Intelligence …, 2021 - Springer
Abstract The Failure Mode and Effects Analysis (FMEA) technique due to its proactive nature
can identify failures and their causes as well as potential effects, and provide …
can identify failures and their causes as well as potential effects, and provide …
A hybrid intelligent model for assessment of critical success factors in high-risk emergency system
Y Han, Y Deng - Journal of ambient intelligence and humanized …, 2018 - Springer
High-risk emergency systems are emerging as a new generation technology to prevent
disasters. Latest research points out that these systems could protect properties and lives in …
disasters. Latest research points out that these systems could protect properties and lives in …