%0 Journal Article %A GENG Xiuli %A MA Wanyuan %T Interval-valued intuitionistic VIKOR considering unknown attribute weights %D 2017 %R 10.3778/j.issn.1002-8331.1606-0255 %J Computer Engineering and Applications %P 257-262 %V 53 %N 24 %X Aiming at the problem that the traditional fuzzy theory considers the membership information only when dealing with multi-attribute decision-making problem, an extended VIKOR approach is proposed based on Interval-Valued Intuitionistic Fuzzy Sets(IVIFSs). IVIFSs are used to handle interval semantic evaluation information. Considering the problem that the attribute weights are unknown, the attribute weights are determined according to the support degree among the IVIFSs. The higher the attributes’ support degree, the lower its weight. The cross entropy of IVIFSs is introduced into the VIKOR to calculate the distance between IVIFSs. Finally, a case study of evaluating mobile phone design concepts is presented to illustrate the effectiveness of the proposed method. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1606-0255