By Topic

Multi-level decision-making model for product design based on Fuzzy set theory

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shouqian Sun ; Center of Digital Art & Design, Hubei Univ. of Technol., Wuhan ; Qun Wu ; Gang Liu

Matching the customer's needs and various characteristics of the designed product together is the key point to develop a successful product, in this process, decision-making is very important. Owing to vague concepts frequently represented in decision data, the crisp value is inadequate to model real-life situations. In this paper, the information of the degrees of people's satisfaction on each alternative is described by linguistic variables based on fuzzy set theory. Then the evaluated alternatives are arranged in a hierarchical structure with several levels, and the weighting function of each level criterion is quantified based on AHP method. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all alternatives by calculating the distances to both the positive-ideal solution and negative-ideal solution simultaneously. Finally, the development of a cash register is taken as an example in this study

Published in:

Pervasive Computing and Applications, 2006 1st International Symposium on

Date of Conference:

3-5 Aug. 2006