摘要
[目的]在节能减排背景下,船舶主机优选是值得深入研究的问题,也是一个复杂的多属性决策问题。[方法]首先,分析船舶主机选型的影响因素,提出主机优选指标体系;然后,采用熵权法确定客观权重,采用偏差熵模型确定主观权重,并设计一种交互式赋权法以确定船舶主机优选指标的综合权重,从而实现客观权重与主观权重的统一;最后,通过证据推理法实现信息融合,对备选方案进行排序和优选。[结果]以某航道管理局船舶建造项目的主机优选问题为例,验证了该方法的有效性与正确性,并总结了指标区间选择对评价结果效用值的影响规律。[结论]研究结果表明,交互式赋权与证据推理相结合的方法可以为船舶主机选型设计提供理论支持。
[Objectives]The optimal selection of ship's main engine is a problem worthy of further study,and also a complicated problem on multi-attribute decision making.[Methods]The criteria system of optimal selection of a ship's main engine was proposed by deeply analyzing the influence factors of the ship's main engine selection.The objective weight was calculated by entropy weight method.And the subjective weight was calculated by deviation entropy model.Then an interactive weighting method was presented to calculate the comprehensive weight of the ship's main engine selection criteria system,which unified the objective weight and the subjective weight.Finally,the evidential reasoning approach was used to fuse information to sort and select the best one from the options.[Results]The method above was proved to be effective and correct by taking the optimal selection of the main engine in the ship building project of a waterway administration as an example.What's more,the influence rule that the interval selection has on utility value of evaluation results,is further explored.[Conclusions]The results show that the combination of interactive weighting and evidential reasoning can provide theoretical support for ship main engine type selection design。
作者
赵瑞嘉
谢新连
赵家保
王郅翔
Zhao Ruijia;Xie Xinlian;Zhao Jiabao;Wang Zhixiang(Integrated Transport Institute,Dalian Maritime University,Dalian 116026,China;Logistics Research Institute,Dalian Maritime University,Dalian 116026,China)
出处
《中国舰船研究》
CSCD
北大核心
2019年第5期22-27,共6页
Chinese Journal of Ship Research
基金
国家重点研发计划资助项目(2017YFC0805309)
中央高校基本科研业务费专项资金资助项目(3132016358,3132019303)
关键词
船舶主机优选
交互式赋权
熵权法
偏差熵模型
证据推理
optimal selection of ship's main engine
interactive weighting
entropy weight method
deviation entropy model
evidential reasoning