| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5002171 | IFAC-PapersOnLine | 2016 | 5 Pages |
Abstract
Fuzzy Cognitive Maps, being a combination of Fuzzy Logic and Neural Networks, have been gaining researchers' interest on an international level. In recent years there has been an effort to evolve the method of Fuzzy Cognitive Maps and improve its response and effectiveness. Towards this direction various approaches and different learning algorithms have been used with very good results. This proves that Fuzzy Cognitive Maps method is very promising and worth of further investigation and development. Classical Fuzzy Cognitive Maps theory will be presented and a new conception will be put forward and implemented. The results will be analytically presented and the conclusions will leave space for more creative and evolving research.
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Authors
Eleni S. Vergini, Petros P. Groumpos,