A Conceptual Framework for Understanding a Fuzzy System
- Alonso, José María; Magdalena, L.
- Year: 2009
- Type of Publication: In Proceedings
- Book title: Proceedings of the Joint 13th IFSA World congress and 6th EUSFLAT conference
- Address: Lisbon
- DOI: 10.1016/S0022-3913(96)90249-8
- The word Interpretability is becoming more and more frequent in the fuzzy literature. It is admitted as the main advantage of fuzzy systems and it should be given a main role in fuzzy modeling. However, although researchers talk a lot about Interpretability, it is even not clear what it really means. Understanding of fuzzy systems is a subjective task which strongly depends on the person (experi- ence, preferences, knowledge, etc.) who makes the assessment. The general context and the specific problem under consideration have a huge influence too. This paper makes a review on works related to Interpretability and presents the proposal of a conceptual framework that can help to understand fuzzy systems. Moreover, it can be con- sidered as a starting point in order to propose a fuzzy index, easily adaptable to the context of each problem as well as to the user quality criteria, for measuring Interpretability.