MCDM method based on improved fuzzy decision map

In this paper, we improve the Fuzzy Decision Map (FDM) by using linguistic values rather than crisp membership values for the link weights (i.e. preference and causal relationships among criteria with fuzzy linguistic). The proposed method is called the linguistic fuzzy decision network. It provides both local fuzzy weights and global fuzzy weights. The proposed method is quite appropriate to decision makers to reflect the practical vagueness and imprecision existed for solving Multi-Criteria Decision-Making (MCDM) in real world situations. A case study is used to compare the performance of the proposed model with the original fuzzy decision maps model. The result of comparison ensures the ability to draw the same decisions with a more realistic decision environment.