The chapter describes multi-criteria decision-making (MCDM) models in the selection of optimal noise action plans. The study utilizes the Fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) decision model and PROMETHEE II (Preference ranking organization method for enrichment evaluation) in determination of the ranking order of the various alternatives for aircraft noise control in comparison to the various criteria is considered. The application of both the approach can be instrumental in prioritizing the selection of noise action plans utilizing the fuzzy linguistic variables when precise values are not easily obtainable. It is envisaged that both the approach can find an immense utility for the selection of noise action plans for the task force committees responsible for project noise evaluation and control. The uncertainty in developed decision-making model can be reduced by including the precise data of ratings of alternatives w.r.t each criteria or by inviting the opinion of various field experts.