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舰船通道布置方案的直觉模糊多属性群决策方法
引用本文:王文全,黄胜,王超,胡玉龙,侯远杭.舰船通道布置方案的直觉模糊多属性群决策方法[J].上海交通大学学报,2013,47(6):894-899.
作者姓名:王文全  黄胜  王超  胡玉龙  侯远杭
作者单位:(哈尔滨工程大学 船舶工程学院,哈尔滨 150001)
基金项目:国家自然科学基金资助项目,中国博士后科学基金面上资助项目,高等学校博士学科点专项科研基金
摘    要:基于人工蜂群(ABC)算法的直觉模糊多属性群决策方法对舰船通道布置方案进行了决策优选.分析了舰船通道布置的影响因素,提出了通道布置评价的指标体系.建立了适应于直觉模糊判断矩阵一致性调整的优化模型,并引入ABC算法对模型进行了求解,形成了一种新的直觉模糊多属性群决策一致性修正方法,该方法不需要决策专家反复协商来使专家决策结果达到可接受的一致性,提高了决策效率.通过舰船通道布置方案评价的具体实例,验证了该决策方法的可靠性和合理性.

关 键 词:舰船    通道布置    指标体系    直觉模糊多属性群决策    决策一致性    人工蜂群算法  
收稿时间:2012-04-23

Intuitionistic Fuzzy Multiple Attribute Group Decision-making for Ship Passage Arrangement
WANG Wen-quan,HUANG Sheng,WANG Chao,HU Yu-long,HOU Yuan-hang.Intuitionistic Fuzzy Multiple Attribute Group Decision-making for Ship Passage Arrangement[J].Journal of Shanghai Jiaotong University,2013,47(6):894-899.
Authors:WANG Wen-quan  HUANG Sheng  WANG Chao  HU Yu-long  HOU Yuan-hang
Institution:(College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China)
Abstract:The arrangement scheme of ship passage was selected using intuitionistic fuzzy multiple attribute group decision-making method based on artificial bee colony algorithm. The influencing factors of ship passage arrangement were analyzed and the evaluation indexes system of passage arrangement was proposed. The optimization model of consistency adjustment was established adapting to the intuitionistic fuzzy judgment matrix, the artificial bee colony algorithm was introduced to solve the mathematic model, and a novel consistency correction method was formed in intuitionistic fuzzy multiple attribute group decision-making. The method did not need to repeat the decision expert consultation to achieve acceptable consistency, which improved the efficiency of decision-making. The reliability and the rationality of decision method were verified by the instance of ship passage arrangement scheme evaluation. Key words:
Keywords:naval ship  passage arrangement  indexes system  intuitionistic fuzzy multiple attribute group decision-making  consistency of decision  artificial bee colony algorithm
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