A visual analytics approach for multi-attribute decision making based on intuitionistic fuzzy AHP and UMAP
Abstract: Highlights•An optimization method is proposed to determine the crisp attribute weights in IFAHP.•The improved IFAHP can avoid information loss caused by defuzzification.•A visual analytics approach is proposed to present the decision-making process.•UMAP and Voronoi diagram are combined to guide DM to select the best choice visually.
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