Abstract

This paper presents a fuzzy linear regression model for estimation of reverse osmosis permeating parameters conditions. The proposed model can effectively take on non-crisp, fuzzy and crisp data. This study model used for estimation of reverse osmosis permeating parameters data from Tirupur  examines the variables that contribute to the deterioration of membrane. This result demonstrates the capability and effectiveness of the proposed model to assign membrane. The study system requires an accurate and efficient prediction model.

Key words: Fuzzy regression, membership function, chlorine (Cl^-), membrane, total dissolved solids (TDS), pH.