๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Evaluation of design requirements using fuzzy outranking methods

โœ Scribed by Tijen Ertay; Cengiz Kahraman


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
417 KB
Volume
22
Category
Article
ISSN
0884-8173

No coin nor oath required. For personal study only.

โœฆ Synopsis


To increase customer satisfaction, quality function deployment is used to translate customer needs into technical design requirements ~DRs!. Determination of DRs for product development is very important because these requirements are the vital keys to successful products. The methods used to evaluate DRs in the literature can be categorized into multicriteria evaluation methods such as scoring methods, the analytic hierarchy method, analytic network process, and so forth. There are few papers using fuzzy multi-attribute outranking methods to evaluate DRs. This article aims to compare the results of three different fuzzy outranking methods to evaluate the DRs in the PVC windows industry. A sensitivity analysis is also made by using the software, FOuR.


๐Ÿ“œ SIMILAR VOLUMES


Construction of a two-parameters fuzzy o
โœ Razvan Gheorghe; Ahmed Bufardi; Paul Xirouchakis ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 784 KB

At the early stages of design process, several design concepts are proposed as potential solutions. The selection of the most appropriate one is based on their evaluation with respect to several con icting criteria. In this paper, we consider the case where the evaluations of design concepts with re

New methods for students' evaluation usi
โœ Shyi-Ming Chen; Chia-Hoang Lee ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 618 KB

In an earlier work, presented two methods for the application of fuzzy sets in students' answerscripts evaluation. In this paper, we extend his work to propose two new methods for evaluating students' answerscripts using fuzzy sets. The proposed methods can overcome the drawbacks in Biswas (1995) d

Design of stable fuzzy control systems u
โœ Chaio-Shiung Chen ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 442 KB

In this paper, a systematic procedure is presented to analyze and design a stable fuzzy controller for a class of nonlinear systems. Based on the Lyapunov's directive method, we account for the relationship between the stability of the control system and the I/O sets of the fuzzy controller. First,