A Fuzzy-Based Decision Support Model for Selecting the Best Dialyser Flux in Haemodialysis


Ozturk N., Tozan H.

JOURNAL OF HEALTHCARE ENGINEERING, vol.6, no.3, pp.303-324, 2015 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 6 Issue: 3
  • Publication Date: 2015
  • Doi Number: 10.1260/2040-2295.6.3.303
  • Title of Journal : JOURNAL OF HEALTHCARE ENGINEERING
  • Page Numbers: pp.303-324

Abstract

Decision making is an important procedure for every organization. The procedure is particularly challenging for complicated multi-criteria problems. Selection of dialyser flux is one of the decisions routinely made for haemodialysis treatment provided for chronic kidney failure patients. This study provides a decision support model for selecting the best dialyser flux between high-flux and low-flux dialyser alternatives. The preferences of decision makers were collected via a questionnaire. A total of 45 questionnaires filled by dialysis physicians and nephrologists were assessed. A hybrid fuzzy-based decision support software that enables the use of Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), Analytic Network Process (ANP), and Fuzzy Analytic Network Process (FANP) was used to evaluate the flux selection model. In conclusion, the results showed that a high-flux dialyser is the best option for haemodialysis treatment.