Abstract
A pivotal difference between Artificial Neural Networks and Fuzzy Cognitive Maps (FCMs) is that the latter allow modeling a physical system in terms of concepts and causal relations, thus equipping the network with interpretability features. However, such components are normally described by quantitative terms, which may be difficult to handle by domain experts. In this paper, we explore a reasoning mechanism for FCMs based on the Computing with Words paradigm where numerical concepts and relations are replaced with linguistic terms. More explicitly, we include triangular fuzzy numbers into the qualitative reasoning process attached to our model, thus proving further interpretability and transparency. The simulations show the potential behind the symbolic reasoning mechanism proposed in this study.
| Original language | English |
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| Title of host publication | Advances in Soft Computing |
| Editors | Félix Castro, Sabino Miranda-Jiménez, Miguel González-Mendoza |
| Place of Publication | Cham |
| Publisher | Springer International Publishing |
| Pages | 197-207 |
| Number of pages | 11 |
| ISBN (Print) | 978-3-030-02837-4 |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 16th Mexican International Conference on Artificial Intelligence, MICAI 2017 - Duration: 23 Oct 2017 → … |
Conference
| Conference | 16th Mexican International Conference on Artificial Intelligence, MICAI 2017 |
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| Period | 23/10/17 → … |