C++ Neural Networks and Fuzzy Logic: Preface

Association

Consider two fuzzy sets, one perhaps referring to the popularity of (or interest in) an exhibition and the other

to the price of admission. The popularity could be very high, high, fair, low, or very low. Accordingly, the fit

vector will have five components. The price of admission could be high, modest, or low. Its fit vector has

three components. A fuzzy associative memory system then has the association (popularity, price), and the

fuzzy set pair encodes this association.

We describe the encoding process and the recall in the following sections. Once encoding is completed,

associations between subsets of the first fuzzy set and subsets of the second fuzzy set are also established by

the same fuzzy associative memory system.