An MCDM-integrated maximum coverage approach for positioning of military surveillance systems
研究土耳其国家安全项目中监视系统定位问题，提出集合覆盖方法，结合层次分析法计算需求点权重，在预算和系统数量约束下最大化加权覆盖，并进行了敏感性分析。
We study a surveillance system positioning problem within a national security project in Turkey. Urban areas throughout the country need to be monitored against probable attacks, and we propose set covering approaches to the problem. Working with a representative pilot area, we first find the minimum-cost solution that covers all demand points. We then calculate the criticality weights of these demand points by analytic hierarchy process. In the presence of constraints on the budget use and the number of surveillance systems used, we maximise weighted coverage. We also generate efficient solutions with the criteria of weighted coverage and budget use, and also weighted coverage and number of surveillance systems used. Moreover, we carry out sensitivity analysis on the weights used for demand points, and observe that the results are quite robust to weight changes.