EXTRACTING CAUSE-EFFECT RELATIONSHIPS IN PHARMACY PRODUCTS USING NEURO-FUZZY SYSTEM COMBINED TO VISUALIZATION TECHNIQUE

Abstract

Neuro-fuzzy system is a fusion of functionalities in neural networks and fuzzy logic in order to model and extract knowledge from data. This research presents an application of neuro-fuzzy combined to visualization approach for extracting cause-effect relationships between ingredients and properties in formulation. This result will lead formulators to understanding their products more precisely and saving a lot of time and labor in R&D process.