Artificial neural network based approach for blood demand forecasting: Fez transfusion blood center case study
Combining rule weight learning and rule selection to obtain simpler and more accurate linguistic fuzzy models
Genetic learning of the knowledge base of a Fuzzy system by using the linguistic 2-tuples representation
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities
