Using fuzzy cognitive maps as a system model for failure modes and effects analysis
Information Sciences: an International Journal
Cognitive mapping and certainty neuron fuzzy cognitive maps
Information Sciences: an International Journal
Automatic construction of FCMs
Fuzzy Sets and Systems
Fuzzy cognitive map for the design of EDI controls
Information and Management
Computers and Operations Research
The Delphi method as a research tool: an example, design considerations and applications
Information and Management
Reasoning and unsupervised learning in a fuzzy cognitive map
Information Sciences—Informatics and Computer Science: An International Journal
Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links
International Journal of Human-Computer Studies
Fuzzy Cognitive Maps for stereovision matching
Pattern Recognition
A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps
Applied Soft Computing
Advanced soft computing diagnosis method for tumour grading
Artificial Intelligence in Medicine
Using fuzzy cognitive map for the relationship management in airline service
Expert Systems with Applications: An International Journal
Genetic learning of fuzzy cognitive maps
Fuzzy Sets and Systems
A fuzzy cognitive map approach to differential diagnosis of specific language impairment
Artificial Intelligence in Medicine
Medical Decision Making through Fuzzy Computational Intelligent Approaches
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Using fuzzy cognitive map for evaluation of RFID-based reverse logistics services
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Genetic algorithm dynamic performance evaluation for RFID reverse logistic management
Expert Systems with Applications: An International Journal
Modelling grey uncertainty with Fuzzy Grey Cognitive Maps
Expert Systems with Applications: An International Journal
Training Fuzzy Cognitive Maps via Extended Great Deluge Algorithm with applications
Computers in Industry
Ranking fuzzy cognitive map based scenarios with TOPSIS
Expert Systems with Applications: An International Journal
Learning Fuzzy Grey Cognitive Maps using Nonlinear Hebbian-based approach
International Journal of Approximate Reasoning
Fuzzy cognitive map software tool for treatment management of uncomplicated urinary tract infection
Computer Methods and Programs in Biomedicine
Formalization of treatment guidelines using Fuzzy Cognitive Maps and semantic web tools
Journal of Biomedical Informatics
A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planning
Knowledge-Based Systems
Intelligent Decision Technologies
Fuzzy cognitive maps for artificial emotions forecasting
Applied Soft Computing
Bi-linear adaptive estimation of Fuzzy Cognitive Networks
Applied Soft Computing
A flexible nonlinear approach to represent cause-effect relationships in FCMs
Applied Soft Computing
Fuzzy Grey Cognitive Maps in reliability engineering
Applied Soft Computing
Expert Systems with Applications: An International Journal
Yield prediction in apples using Fuzzy Cognitive Map learning approach
Computers and Electronics in Agriculture
From manifesta to krypta: The relevance of categories for trusting others
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
Dynamic risks modelling in ERP maintenance projects with FCM
Information Sciences: an International Journal
Modeling maintenance projects risk effects on ERP performance
Computer Standards & Interfaces
Linear and sigmoidal fuzzy cognitive maps: An analysis of fixed points
Applied Soft Computing
Hi-index | 12.06 |
Fuzzy cognitive maps (FCM) are graph-based modeling tools. FCM can to be used for structuring and supporting decisional processes. Also, FCM allow developing what-if analysis, through the definition of scenarios. It is possible to choose among four activation functions: (1) sigmoid function, (2) hyperbolic tangent function, (3) step function and (4) threshold linear function. The use of each function can provide different alternatives. In this context, the main objective of the present study is to develop a benchmarking analysis among the mentioned functions using a same decisional model. Findings show how the sigmoid function offers significantly greater advantages than the other functions.