A Facility Location Model Based on Entropy and TOPSIS for Sea Drones
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摘要: 为合理确定水上机场选址方案,研究了基于熵权-TOPSIS的水上机场选址模型.从自然条件、水域条件以及交通条件3个方面,综合考虑空域、水域及陆域情况,识别水上机场选址的影响因素,建立水上机场选址指标体系,构建基于TOPSIS的水上机场选址模型.引入信息熵确定各影响因素指标的权重系数,利用信息熵与TOPSIS进行水上机场选址决策.以镇江市某水上机场项目选址为实例进行验证,运用该模型对所提出的长江下游4个水上机场备选方案进行比选,求得各方案与理想方案相对贴近度分别为0.469/0.682/0.326/0.295.方案二相对贴近度最大(0.682),为最优选址方案,且与实际选址方案一致.采用熵权与TOPSIS相融合进行水上机场选址,可以充分利用客观数据信息,减少主观影响误差,增加选址决策的可信度.Abstract: In order to reasonably select the site of sea drones,an entropy and TOPSIS based model is developed. The influencing factors are identified from three aspects,which are natural conditions,water conditions,and traffic con-ditions,and the airspace,waters and land conditions are comprehensively considered.Afterwards,the site selection index is derived,and a TOPSIS-based method is utilized.Information entropy is applied to determine weights of each influen-cing factors.The site of the sea drone is selected by using both information entropy and TOPSIS.The proposed model is applied to the site selection of seaplane in Zhenjiang.In this case four candidate sites of seaplanes are in this lower reaches of the Yangtze River,and the relative closeness degree of each alternative to the ideal point is 0.469/0.682/0.326/0. 295,respectively.Alternative 2 gets the maximum relative closeness degree,which is 0.682 and the best site among these four alternatives,and it is consistent with the actual selected site.The proposed entropy and TOPSIS based model uses objective information for judgments,which can reduce the errors caused by subjective assessment and also increase the credibility of decisions.
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Key words:
- waterway transport /
- sea drone /
- site selection /
- entropy and TOPSIS /
- seaplane
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