The proliferation of complex online media has accelerated the process of ideology formation, influenced by stakeholders through advertising channels. The media channels, which vary in cost and effectiveness, present a dilemma in prioritizing optimal fund allocation. There are technical challenges in describing the optimal budget allocation between channels over time, which involves defining the finite vector structure of controls on the chart. To enhance marketing productivity, it's crucial to determine how to distribute a budget across all channels to maximize business outcomes like revenue and ROI. Therefore, the strategy for media budget allocation is primarily an exercise focused on cost and achieving goals, by identifying a specific framework for a media program. Numerous researchers optimize the achievement and frequency of media selection models to aid superior planning decisions amid complexity and vast information availability. In this study, we present a planning model using the media mix model for advertising construction campaigns. Additionally, a decision-making strategy centered on FMEA identifies and prioritizes financial risk factors of the media system in companies. Despite some limitations, this research proposes a decision-making approach based on Z-number theory. To address the drawbacks of the RPN score, the suggested decision-making methodology integrates Z-SWARA and Z-WASPAS techniques with the FMEA method.

翻译：复杂在线媒体的激增加速了意识形态形成过程，这一过程受到利益相关者通过广告渠道的影响。媒体渠道在成本和效果上各不相同，这给优先考虑最优资金分配带来了难题。在描述渠道间随时间变化的最优预算分配方面存在技术挑战，这涉及定义图表上控制的有限向量结构。为提高营销生产力，确定如何在所有渠道间分配预算以最大化收入和投资回报率等业务成果至关重要。因此，媒体预算分配策略本质上是一项侧重于成本与目标达成的实践，其核心是为媒体项目确定特定框架。众多研究者优化媒体选择模型的达成度与频率，以在复杂性和海量信息可用性中辅助制定更优的规划决策。本研究提出了一种利用媒体组合模型进行广告建设活动的规划模型。此外，以FMEA为核心的决策策略可识别并优先处理公司媒体系统的财务风险因素。尽管存在一些局限性，本研究提出了一种基于Z数理论的决策方法。为克服RPN评分的缺陷，所建议的决策方法论将Z-SWARA和Z-WASPAS技术与FMEA方法相结合。