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

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3 Author(s)
Shouqian Sun ; Center of Digital Art and Design, Hubei University of Technology, Wuhan, P. R. China. ; 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:

2006 First International Symposium on Pervasive Computing and Applications

Date of Conference:

3-5 Aug. 2006