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A Fuzzy Multi-objective Decision Making Model of the Advertising Budgeting Allocation and Its Application to an IT Company

机译:广告预算分配的模糊多目标决策及其对IT公司的应用

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This paper addresses a fuzzy multi-objective decision making of the advertising budgeting allocation as well as its application at the tactical level. The enterprises always want to find an optimal allocation of advertising budget in order to maximize the advertising effectiveness, which is generally represented by the viewers' number. However, the viewers' data collected by the media just approximates to the actual number of viewers who really pay attention to the advertisement. Therefore, we employ a fuzzy multi-objective decision making model to present it and a random-weight approach based on genetic algorithm to solve this model. The approach is applied to an IT company called Suojia and the result shows important gains can be achieved.
机译:本文涉及广告预算分配的模糊多目标决策以及其在战术层面的应用。企业总是希望找到广告预算的最佳分配,以最大限度地提高广告效果,这通常由观众号码表示。然而,媒体收集的观众数据近似于真正关注广告的观众的实际数量。因此,我们采用模糊多目标决策模型来呈现它和基于遗传算法的随机重量方法来解决该模型。该方法适用于称为Suojia的IT公司,结果显示了重要的收益。

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