Unstructured Decision-Making Model Base on Grey Fuzzy Number
Xinbo Zhang, Ying Lü · 2008
Experts use natural language in the unstructured decision-making problems, when they are establishing weights by pairwise comparison. In this paper, attribute hierarchical model (AHM) is utilized to establish weights. And grey fuzzy number is introduced, which can fully express experts¿ will and make experts¿ scoring more scientific. Then a new grey fuzzy unstructured decision-making model is proposed. Finally, the example shows that this model is simple and efficient.