Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning
Rafael Alcalá, Jorge Casillas, Óscar Cordón, Francisco Herrera · Integrated Computer-Aided Engineering · 2003
This paper presents an evolutionary learning process for linguistic modeling with weighted double-consequent fuzzy rules. These kinds of fuzzy rules are used to improve the linguistic modeling, with the aim of introducing a trade-off between interpre