G Li, G Kou, Y Peng - IEEE Transactions on Systems, Man, and …, 2016 - ieeexplore.ieee.org
This paper proposes a group decision-making (GDM) method for integrating heterogeneous information. To avoid information loss, instead of transforming heterogeneous information …
The 2-tuple linguistic representation model is widely used as a basis for computing with words (CW) in linguistic decision making problems. Two different models based on linguistic …
Q Dong, O Cooper - European Journal of Operational Research, 2016 - Elsevier
Consensus reaching models are widely applied in group decision making problems to improve the group's consensus level before making a common decision. Within the context …
In this paper, two new techniques, linguistic fuzzy simple additive weighting (FSAW) and linguistic fuzzy technique for order of preference by similarity to the ideal solution (FTOPSIS) …
S Zhang, J Zhu, X Liu, Y Chen - Information Fusion, 2016 - Elsevier
In this paper, we study fuzzy multi-attribute group decision-making (FMAGDM) problems with multidimensional preference information in the form of pairwise alternatives and incomplete …
F Çebi, I Otay - Information sciences, 2016 - Elsevier
Supplier selection is one of the major determinants of organizational competitiveness. The decisions on supplier selection are inherently complicated because of the necessity to …
Abstract Design concept evaluation is a critical stage in the product development which has significant impact on the downstream process in product development thus on success of …
P Liu, F Teng - Complexity, 2016 - Wiley Online Library
The significant characteristic of the TODIM (an acronym in Portuguese of Interactive and Multiple Attribute Decision Making) method is that it can consider the bounded rationality of …
G Wei - International Journal of Machine Learning and …, 2016 - Springer
In this paper, we investigate the multiple attribute decision making problem based on the arithmetic and geometric aggregation operators with interval valued hesitant fuzzy uncertain …