Prioritizing design requirements based on fuzzy outranking methods

Kahraman C., Ertay T., Bozdag C.

6th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science, Blankenberge, Belgium, 1 - 03 September 2004, pp.489-494 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1142/9789812702661_0089
  • City: Blankenberge
  • Country: Belgium
  • Page Numbers: pp.489-494
  • Istanbul Technical University Affiliated: No


To increase customer satisfaction, Quality Function Deployment (QFD) is used to translate customer needs (CNs) into technical design requirements (DRs). Determination of DRs for product development is very important since these requirements are the vital keys of successful products. The methods used to evaluate DRs in the literature can be categorized into multi-criteria evaluation methods such as scoring methods, analytic hierarchy method (AHP), analytic network process (ANP), etc. There is a limited number of papers using multi-attribute outranking methods to evaluate DRs. This paper aims at comparing the results of three different fuzzy outranking methods to evaluate the DRs. A numerical example is presented to illustrate the use of these methods. A sensitivity analysis by changing thresholds is also made by using a software.