Abstract: 【Objective】 To clarify the optimal drip irrigation parameter combinations for salinized cotton fields in Karamay, northern Xinjiang. 【Methods】 Two irrigation quotas (W₁: 52.5 mm, W₂: γh(S₀-S₁)/K mm) and four emitter flow rate × emitter spacing combinations (T₁: 1.4 L/h×20 cm, T₂: 2.0 L/h×30 cm, T₃: 2.4 L/h×30 cm, T₄: 2.7 L/h×30 cm) were set in the experiment and the interactive effects of these combinations on multiple indicators, including soil water-salt dynamics, crop growth, and yield, were analyzed. Meanwhile, multi-level weighting system was established using the Analytic Hierarchy Process (AHP) and the CRITIC weighting method to evaluate 11 indicators across three categories. Game theory-based combination weighting was applied to determine the final weights for single indicators. A fuzzy matter-element model was used to construct a comprehensive evaluation system for drip irrigation parameter combinations in salinized cotton fields. Furthermore, a mathematical model for soil water-salt interaction under different drip irrigation parameters was developed with the dual objectives of salinity control and high yield. 【Results】 Irrigation quota and emitter flow rate significantly affected salinity leaching efficiency, crop growth, and yield (P < 0.05). Increasing the leaching quota effectively enhanced root zone water content and salinity leaching efficiency. The optimal values for each indicator were observed under the W₂ irrigation quota, with trends showing an initial increase and subsequent decrease as the emitter flow rate increased. Among the treatments, T₂ outperformed T₃ in lower root zone salinity leaching efficiency and plant height. However, under the comprehensive evaluation system, T₃W₂ was identified as the optimal drip irrigation parameter combination. 【Conclusion】 The optimal irrigation volume and emitter flow rate to be 5,631 m³/hm² and 2.3 L/h, respectively.