Decision Model for Product Design Based on Fuzzy TOPSIS Method

• Published in: 2008 International Symposium on Computational Intelligence and Design Vol. 2; pp. 342 - 345
• Main Authors: Cheng Yang, Qun Wu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2008
• Subjects: AHP; Cities and towns; Computational intelligence; Decision making; Decision Model; Educational institutions; Fuzzy set theory; Fuzzy TOPSIS; Industrial relations; Product design; Psychology; Quality function deployment; Uncertainty
• ISBN: 0769533116; 9780769533117
• DOI: 10.1109/ISCID.2008.220

Many new principles and approaches have been introduced to help designers identify the relationship between customer requirements and design characteristics. However, the psychological requirements of consumer are conceptually vague with uncertainty, so the intensity of consumerpsilas needs is hard to estimate. 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.