Prioritizing design requirements based on fuzzy outranking methods

Cengiz Kahraman*, Tijen Ertay, Cafer Erhan Bozdaǧ

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages489-494
Number of pages6
ISBN (Print)9812388737, 9789812388735
DOIs
Publication statusPublished - 2004
EventApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference - Blankenberge, Belgium
Duration: 1 Sept 20043 Sept 2004

Publication series

NameApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference

Conference

ConferenceApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference
Country/TerritoryBelgium
CityBlankenberge
Period1/09/043/09/04

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