Can Linguistic Modeling Be As Accurate As Fuzzy Modeling Without Losing Its Description To A High Degree
Jorge Casillas, Óscar Cordón, Francisco Herrera · 2000
In system modeling with Fuzzy Rule-Based Systems (FRBSs), we may usually nd two contradictory requirements, the interpretability and the accuracy of the model obtained. As known, Linguistic Modeling (LM)|where the main requirement is the interpretability|is developed by linguistic FRBSs, while Fuzzy Modeling (FM)|where the main requirement is the accuracy|is developed, among others, by approximate FRBSs. Whilst the fact of making linguistic FRBSs be highly interpretable involves establishing hard restrictions to the rule structure (due to the use of a global semantic) thus losing exibility, relaxing such restrictions, as approximate FRBSs do (using a local semantic), can make more exible models to be obtained but losing their interpretability. The main objective of this contribution it to carry out a comparative analysis between LM and FM beyond the classical approach resigned to simply consider LM with a good interpretability but a bad accuracy. Some possibilities to si...