Affiliations:
School of Architecture and Design, Changchun Institute of Technology, Changchun, China
Correspondence:
[*]
Corresponding author. Jia Chen, School of Architecture and Design, Changchun Institute of Technology, Changchun, China. Tel.: +86 0431 89678168; Fax: +86 0431 89678168; E-mail: [email protected].
Abstract: In this paper, we investigate the 2-tuple linguistic multiple attribute group decision making problems for evaluating the design effect of clothing and accessories with incomplete weight information, some basic concepts and operational laws of 2-tuple linguistic variables are introduced. A model based on the entropy weight method, by which the attribute weights can be determined, is established. According to the traditional ideas of grey relational analysis (GRA), the optimal alternative(s) is determined by calculating the linguistic degree of grey relation of every alternative and 2-tuple linguistic positive ideal solution and 2-tuple linguistic negative ideal solution. Finally, an illustrative example for evaluating the design effect of clothing and accessories is given to verify the developed approach.
Keywords: Multiple attribute group decision making, 2-tuple linguistic information, grey relational analysis (GRA), entropy weight method, design effect, clothing and accessories
