舰船通道布置方案的直觉模糊多属性群决策方法

摘要/Abstract

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

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：

Key words: naval ship, passage arrangement, indexes system, intuitionistic fuzzy multiple attribute group decision-making, consistency of decision, artificial bee colony algorithm

中图分类号:

U 662.3

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（自然版）, 2013, 47(06): 894-899.

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(06): 894-899.

参考文献

［1］余为波,王涛.基于图论的舰船通道路线优化［J］.中国舰船研究,2008,3(1):1822.

YU Weibo, WANG Tao. Optimization of passage route in ship based on graph theory［J］. Chinese Journal of Ship Research, 2008,3(1):1822.

［2］孙诗南. 现代航空母舰［M］.上海：上海科学普及出版社,2000:203205.

［3］Atanassov K. Instuitionistic fuzzy sets［J］. Fuzzy Sets and Systems, 1989,47(31):8796.

［4］万树平.直觉模糊多属性群决策方法综述［J］.控制与决策,2010,25(11):16011606.

WAN Shuping. Survey on instuitionistic fuzzy multiattribute decision making approach［J］. Control and Decision, 2010, 25(11):16011606.

［5］熊健,邢立宁,陈英武.基于改进遗传算法的一类多属性群决策方法［J］.控制与决策,2010,25(4):632636.

XIONG Jian, XING Lining, CHEN Yingwu. Method of a type of multiattribute decision making based on improved genetic algorithm［J］. Control and Decision, 2010,25(4):632636.

［6］侯远杭,胡玉龙,王文全等.船型方案优选的多目标决策方法［J］.上海交通大学学报,2012,46(3):385389.

HOU Yuanhang, HU Yulong, WANG Wenquan, et al. Ship type selection based on group decisionmaking with multiobjects［J］. Journal of Shanghai Jiaotong University, 2012, 46(3):385389.

［7］Hope J P, Carlson C M. Naval ship access design［J］. Naval Engineers Journal,1978,90(2):3137.

［8］徐泽水.直觉模糊信息集成理论及应用［M］.北京:科学出版社,2008:171174.

［9］Szmidt E, Kacprzyk J. A similarity measures of intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning［J］. Lecture Notes in Artificial Intelligence, 2004,3(7):388393.

［10］Karaboga D, Basturk B. A powerful and efficient algorithm for numerical function optimization: Artificial bee colony(ABC) algorithm［J］. Journal of Global Optimization,2007,39(3):459471.

［11］Karaboga D, Basturk B. On the performance of artificial bee colony(ABC) algorithm［J］. Applied Soft Computing, 2008,8(1):687697.

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