Searching for the optimal cabin layout plan is an effective way to improve the efficiency of the overall design and reduce a ship\'s operation costs. The multitasking states of a ship involve several statuses when facing different missions during a voyage, such as the status of the marine supply and emergency escape. The human flow and logistics between cabins will change as the state changes. An ideal cabin layout plan, which is directly impacted by the above-mentioned factors, can meet the different requirements of several statuses to a higher degree. Inevitable deviations exist in the quantification of human flow and logistics. Moreover, uncontrollability is present in the flow situation during actual operations. The coupling of these deviations and uncontrollability shows typical uncertainties, which must be considered in the design process. Thus, it is important to integrate the demands of the human flow and logistics in multiple states into an uncertainty parameter scheme. This research considers the uncertainties of adjacent and circulating strengths obtained after quantifying the human flow and logistics. Interval numbers are used to integrate them, a two-layer nested system of interval optimization is introduced, and different optimization algorithms are substituted for solving calculations. The comparison and analysis of the calculation results with deterministic optimization show that the conclusions obtained can provide feasible guidance for cabin layout scheme.