【摘要】 在路由决策、云计算、数据中心网络、网络选择和边缘计算等无线网络的应用中，多属性决策MADM算法因其可以有效地解决多目标决策问题而被广泛应用。然而，在现代无线网络中，传统MADM算法的性能不能很好地满足在业务流快速、连续和大规模的无线网络场景的需求。基于此，提出了iMADM和变权重MADM算法(vw-MADM),相较于传统算法，vw-MADM算法更加简单且有效。在vw-MADM算法中，当其中一个参数发生变化时，只需要计算该参数的效用，且其他候选参数的效用不受影响，其创新在于提高精度的同时降低了计算复杂度。此外，对所提出的vw-MADM算法和iMADM算法进行了评估，包括合理性、有效性、计算复杂度、参数和效用的变化阈值等。实验仿真结果表明，所提出的vw-MADM算法在精度、计算复杂度和合理性方面均优于传统MADM算法和iMADM算法，证明了所提算法能够显著提高MADM的性能。更多还原

【Abstract】 In applications of wireless networks such as routing decisions, cloud computing, data center networking, network selection, and edge computing, multi-attribute decision-making(MADM) algorithms are widely adopted due to their effectiveness in solving multi-objective decision-making problems. However, in modern wireless networks, traditional MADM algorithms fail to adequately meet the demands of scenarios involving rapid, continuous, and large-scale service flows. To address this, this paper proposes two enhanced algorithms: iMADM and variable-weight MADM(vw-MADM). Compared to traditional algorithms, the vw-MADM algorithm is simpler and more efficient. In vw-MADM, when one parameter changes, only the utility of that specific parameter needs to be recalculated, while the utilities of other candidate parameters remain unaffected. Its innovation lies in improving accuracy while reducing computational complexity. Additionally, this paper evaluates the properties of the proposed vw-MADM and iMADM algorithms, including rationality, effectiveness, computational complexity, and thresholds for parameter and utility variations. Simulation results demonstrate that the proposed vw-MADM algorithm outperforms traditional MADM and iMADM algorithms in terms of accuracy, computational complexity, and rationality, proving its capability to significantly enhance MADM performance.更多还原