This project addresses big data classification using hybrid Intelligence
Classification System. Hybrid Intelligence classification system is a system that
combines at least two intelligent technologies. Specifically, the focus of this project is to
apply hybrid Neuro-Fuzzy system to the IBM Watson data and Innocentive
Trustworthiness challenge data for prediction and classification. Neural network are low-
level computational structure which has ability to learn and performs well on the raw
data. On the other hand, fuzzy logic deals with reasoning on higher level using If-then
rules and linguistic variables. So combining these two methods can provide us with a
very powerful classification system.
Eibagi, Amir, "Big Data Analysis Using Neuro-Fuzzy System" (2014). Master's Projects. 367.