International Journal of Man-Machine Studies
Cognitive mapping and certainty neuron fuzzy cognitive maps
Information Sciences: an International Journal
Information Sciences: an International Journal
Quantization effects on the equilibrium behavior of combined fuzzy cognitive maps: Research Articles
International Journal of Intelligent Systems
Fuzzy cognitive map architectures for medical decision support systems
Applied Soft Computing
Expert Systems with Applications: An International Journal
A Prolog Based System That Assists Experts to Construct and Simulate Fuzzy Cognitive Maps
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Expert Systems with Applications: An International Journal
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
Using fuzzy cognitive maps as a decision support system for political decisions
PCI'01 Proceedings of the 8th Panhellenic conference on Informatics
Are your rules online? four web rule essentials
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
Genetic algorithm dynamic performance evaluation for RFID reverse logistic management
Expert Systems with Applications: An International Journal
Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications
Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications
Ranking fuzzy cognitive map based scenarios with TOPSIS
Expert Systems with Applications: An International Journal
The RuleML family of web rule languages
PPSWR'06 Proceedings of the 4th international conference on Principles and Practice of Semantic Web Reasoning
Expert Systems with Applications: An International Journal
Semantic annotation of cognitive map for knowledge sharing between heterogeneous businesses
Expert Systems with Applications: An International Journal
A causal knowledge-based expert system for planning an Internet-based stock trading system
Expert Systems with Applications: An International Journal
Agent based mobile negotiation for personalized pricing of last minute theatre tickets
Expert Systems with Applications: An International Journal
Analyzing of CPFR success factors using fuzzy cognitive maps in retail industry
Expert Systems with Applications: An International Journal
Towards Hebbian learning of Fuzzy Cognitive Maps in pattern classification problems
Expert Systems with Applications: An International Journal
Modeling uncertainty in clinical diagnosis using fuzzy logic
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
An expert fuzzy cognitive map for reactive navigation of mobile robots
Fuzzy Sets and Systems
Systematic causal knowledge acquisition using FCM Constructor for product design decision support
Expert Systems with Applications: An International Journal
Learning Algorithms for Fuzzy Cognitive Maps—A Review Study
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fuzzy cognitive maps for artificial emotions forecasting
Applied Soft Computing
A fuzzy cognitive map of the psychosocial determinants of obesity
Applied Soft Computing
Hi-index | 12.05 |
Fuzzy Cognitive Map (FCM) technique is a combination of Fuzzy Logic and Artificial Neural Networks that is extensively used by experts and scientists of a diversity of disciplines, for strategic planning, decision making and predictions. A standardized representation of FCMs accompanied by a system that would assist decision makers to simulate their own developed Fuzzy Cognitive Maps would be highly appreciated by them, and would help the dissemination of FCMs. In this paper, (a) a RuleML representation of FCM is proposed and (b) a system is designed and implemented in Prolog programming language to assist experts to simulate their own FCMs. This system returns results in valid RuleML syntax, making them readily available to other cooperative systems. The representation capabilities and the design choices of the implemented system are discussed and a variety of examples are given to demonstrate the use of the system.