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 …
Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions
As the world population is expected to touch 9.73 billion by 2050, according to the Food and
Agriculture Organization (FAO), the demand for agricultural needs is increasing …
Agriculture Organization (FAO), the demand for agricultural needs is increasing …
Implementation of e-proctoring in online teaching: A study about motivational factors
Most online teaching institutions still do not offer complete remote teaching, requiring the
physical presence of the student in the evaluation process (for supervisory reasons), which …
physical presence of the student in the evaluation process (for supervisory reasons), which …
A cloud enabled crop recommendation platform for machine learning-driven precision farming
Modern agriculture incorporated a portfolio of technologies to meet the current demand for
agricultural food production, in terms of both quality and quantity. In this technology-driven …
agricultural food production, in terms of both quality and quantity. In this technology-driven …
How to design more sustainable financial systems: The roles of environmental, social, and governance factors in the decision-making process
A literature review showed that finance is a driver of sustainability. However, to achieve
sustainability through finance, it is necessary to rebuild and adapt the financial system to the …
sustainability through finance, it is necessary to rebuild and adapt the financial system to the …
Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application
This work investigates the process of yield prediction in cotton crop production using the soft
computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy …
computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy …
Using fuzzy cognitive map** in environmental decision making and management: a methodological primer and an application
Widespread concerns over the integrity of natural ecosystems worldwide have initiated
numerous attempts at develo** new tools of monitoring present conditions, assessing …
numerous attempts at develo** new tools of monitoring present conditions, assessing …
Use of HFACS–FCM in fire prevention modelling on board ships
This research proposes a proactive modelling approach that combines Fuzzy Cognitive
Map** (FCM) and Human Factors Analysis and Classification System (HFACS) …
Map** (FCM) and Human Factors Analysis and Classification System (HFACS) …
Mediterranean land systems: Representing diversity and intensity of complex land systems in a dynamic region
In the Mediterranean region, land systems have been shaped gradually through centuries.
They provide services to a large and growing population in a region that is among the most …
They provide services to a large and growing population in a region that is among the most …
Use of fuzzy cognitive maps to develop policy strategies for the optimization of municipal waste management: A case study of the land of fires (Italy)
This paper applies an analytical method for develo** policy strategies to optimize
municipal waste management systems (MWMSs) to the case of the Land of Fires (LoF). The …
municipal waste management systems (MWMSs) to the case of the Land of Fires (LoF). The …