Application of Associated Clustering Analysis of Extension Group Decision-Making

On the basis of the analysis on the theories and methods of fuzzy clustering and extension group decision-making, this paper established an associated clustering model of analysis of extension group decision-making, centered on correlation function and combined fuzzy equivalence relations with extension transformation. Not only does this method take the advantages of dynamic classification in extension group decision-making, but also achieves the subdivision of the decision-making program under uncertainty, conducive to the promotion of the classification results of multi-factor analysis and multi-project evaluation in extension group decision-making. Finally, an example concerning practical problems is given to demonstrate the process of associated clustering and confirmed the truth of the effectiveness of the method.