A review on methods and software for fuzzy cognitive maps

G Felix, G Nápoles, R Falcon, W Froelich… - Artificial intelligence …, 2019 - Springer
Fuzzy cognitive maps (FCMs) keep growing in popularity within the scientific community.
However, despite substantial advances in the theory and applications of FCMs, there is a …

Fuzzy cognitive maps in systems risk analysis: a comprehensive review

E Bakhtavar, M Valipour, S Yousefi, R Sadiq… - Complex & Intelligent …, 2021 - Springer
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 …

Learning fuzzy cognitive maps with modified asexual reproduction optimisation algorithm

JL Salmeron, T Mansouri, MRS Moghadam… - Knowledge-Based …, 2019 - Elsevier
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 …

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 …

[HTML][HTML] La transformación de los objetivos de desarrollo sostenible desde una dinámica prospectiva y operativa de la Carrera de Derecho en Uniandes en época de …

RE Ramos Sánchez, RX Ramos Solorzano… - Conrado, 2021 - scielo.sld.cu
Las universidades desempeñan un papel fundamental en el desarrollo de las sociedades
del mundo, tal es el caso de la Universidad Regional Autónoma de Los Andes que es una …

Examining wind energy deployment pathways in complex macro-economic and political settings using a fuzzy cognitive map-based method

SG Zare, M Alipour, M Hafezi, RA Stewart, A Rahman - Energy, 2022 - Elsevier
Long-term sustainable wind energy deployment faces an array of challenges due to various
complex interconnected impediment factors. These inherent endogenous and exogenous …

[HTML][HTML] Bullwhip effect reduction map for COVID-19 vaccine supply chain

SMH Bamakan, P Malekinejad, M Ziaeian… - Sustainable Operations …, 2021 - Elsevier
The growing COVID-19 virus pandemic outbreak causes an urgent need to produce its
vaccine. Pharmaceutical companies would encounter a massive wave of unforeseen …

Time series forecasting using fuzzy cognitive maps: a survey

O Orang, PC de Lima e Silva, FG Guimarães - Artificial Intelligence Review, 2023 - Springer
Among various soft computing approaches for time series forecasting, fuzzy cognitive maps
(FCMs) have shown remarkable results as a tool to model and analyze the dynamics of …

Characteristics and scenarios of solar energy development in Iran: Fuzzy cognitive map-based approach

M Alipour, R Hafezi, E Papageorgiou, M Hafezi… - … and Sustainable Energy …, 2019 - Elsevier
Widespread use of promising solar energy is an integral attribute of governments toward
global efforts in mitigating future emission and reducing the fossil fuel consumption …

[HTML][HTML] On the interpretability of fuzzy cognitive maps

G Nápoles, N Ranković, Y Salgueiro - Knowledge-Based Systems, 2023 - Elsevier
This paper proposes a post-hoc explanation method for computing concept attribution in
Fuzzy Cognitive Map (FCM) models used for scenario analysis, based on SHapley Additive …