Fuzzy viscometric analysis of polymer–polymer miscibility based on fuzzy regression

Koc D., KOÇ M. L.

Chemometrics and Intelligent Laboratory Systems, vol.157, pp.58-66, 2016 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 157
  • Publication Date: 2016
  • Doi Number: 10.1016/j.chemolab.2016.06.019
  • Journal Name: Chemometrics and Intelligent Laboratory Systems
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.58-66


This study investigates the application of fuzzy regression to the viscometric analysis of polymer-polymer miscibility by using experimental viscosity data for polystyrene (PS), poly(styrene-co-acrylonitrile) (PSAN) and PS/PSAN blends in CHCI3 and DMF at different temperatures. The first stage includes the calculations of the fuzzy thermodynamic interaction parameter based on the results from the fuzzy regression models. In the second stage, the possibility and necessity measure-dependent results of the immiscibility (or miscibility) are presented and compared with the traditional miscibility estimations. This study shows that the fuzzification of traditional regression as well as the decision making on miscibility may have a good potential to be used for viscometric studies. (C) 2016 Elsevier B.V. All rights reserved.