Media Selection is a multi criteria decision making (MCDM) problem. Decision makers with budget constraints should select media vehicles with the greatest effects on audiences by simultaneously considering multiple and interdependent evaluation criteria. This work develops a systematic decision support algorithm for media selection. Analytic Network Process (ANP) is adopted to determine the relative weights of criteria. An Integer Programming (IP) is then applied to (identify the optimum combination of media below a fixed budget. An empirical example demonstrates the computational process and effectiveness of the proposed model
關聯:
International Journal of Industrial Engineering : Theory Applications and Practi
