From Logic Expressions to Fuzzy Logic Networks
Witold Pedrycz, Fernando A. C. Gomide · 2007
This chapter contains sections titled: Introduction Main categories of fuzzy neurons Uninorm-based fuzzy neurons Architectures of logic networks The development mechanisms of the fuzzy neural networks Interpretation of the fuzzy neural networks From fuzzy logic networks to Boolean functions and their minimization through learning Interfacing the fuzzy neural network Interpretation aspects—a refinement of induced rule-based system Reconciliation of perception of information granules and granular mappings Conclusions Exercises and problems Historical notes References