Author

Amir Eibagi

Publication Date

Spring 2014

Degree Type

Master's Project

Department

Computer Science

Abstract

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.

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