From Logic Expressions to Fuzzy Logic Networks

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