基于直觉正态云的退役机械产品拆解序列方案决策OA

To address the challenges of disassembly end-of-life mechanical products in complex and fuzzy environments,which complicated the sequencing of disassembly alternatives,a hybrid multi-criteria decision-making method was proposed based on INC fuzzy theory and incorporating integrated subjective and objective weights.According to dismantling features,a comprehensive optimization criteria system for evaluating disassembly sequence alternatives of end-of-life mechanical products was constructed across the environmental,economic,and human-related dimensions.Combining Monte Carlo simulation with cloud model distance,improvements were made to the cross-entropy and full consistency method to determine criteria fusion weights.The INC-measurement of alternatives and ranking according to compromise solu-tion method was subsequently employed to rank the disassembly sequence alternatives and determine the optimal solution.Finally,an end-of-life coal-fire power products was employed as a case study to verify the scientific rigor and effectiveness of the proposed method by comparing the impacts of different weighting strategies and decision-making methods on the final results.