Group Decision Making of Naval Ship Principal Dimensions Based on PSO Algorithm

被引:0
|
作者
Hou, Yuanhang [1 ]
Huang, Sheng [1 ]
Hu, Yulong [1 ]
Meng, Xiangyin [1 ]
Wang, Wenquan [1 ]
Wang, Chao [1 ]
机构
[1] Harbin Engn Univ, Coll Shipbldg Engn, Harbin 150001, Peoples R China
来源
关键词
Group Decision Making; Consistency; PSO Algorithm; Naval Ship Principal Dimension;
D O I
10.4028/www.scientific.net/AMR.201-203.1233
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The selection of naval ship principal dimensions based on Particle Swarm Optimization (PSO) algorithm was presented. Firstly, at the foundation of single-scheme decision making method using weighted distance to ensure the consistency, a new multiple-scheme group decision making method was proposed. Secondly, experts' opinions were judged and adjusted by PSO, in order to keep the initial preference of the individual. Thirdly, the new method is introduced to group decision making of naval ship principal dimensions. Through determining the attributes and their weights, a series of schemes are generated by uniform design, then numbers of experts were invited to make a rational evaluation for deriving the final result, its consistency is better than the one derived without restriction of weighted distance. This new decision making method offers an effective and efficient way to determine the naval ship principal dimensions with high reality and reliability.
引用
收藏
页码:1233 / 1237
页数:5
相关论文
共 50 条
  • [1] Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory
    Chen Jianping
    Jie, Xu
    You, Gong
    Li, Xu
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [2] Research on Evaluation of Cabin Design in Naval Ship Based on the Method of Intuitionistic Fuzzy Multiple Attribute Group Decision-Making
    Li, Xiaowen
    Li, P.
    Lin, Z.
    Guo, Z.
    Yang, D.
    [J]. PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION, 2013, 254 : 837 - 844
  • [3] A PSO-algorithm-based consensus model with the application to large-scale group decision-making
    Liu, Fang
    Zhang, Jiawei
    Liu, Tong
    [J]. COMPLEX & INTELLIGENT SYSTEMS, 2020, 6 (02) : 287 - 298
  • [4] A PSO-algorithm-based consensus model with the application to large-scale group decision-making
    Fang Liu
    Jiawei Zhang
    Tong Liu
    [J]. Complex & Intelligent Systems, 2020, 6 : 287 - 298
  • [5] The reverse prediction of the ship principal dimensions based on the Kelvin ship waves
    Ma, Chao
    Liu, Zuyuan
    Yang, Yuntao
    Zhan, Chensheng
    Chen, Xide
    Feng, Baiwei
    Chang, Haichao
    [J]. OCEAN ENGINEERING, 2023, 285
  • [6] Regression Analysis of Ship Principal DimensionsBased on Improved PSO-BP Algorithm
    Hou, Yuan-hang
    Huang, Sheng
    Wang, Wen-quan
    Hu, Yu-long
    [J]. ADVANCED DESIGN TECHNOLOGY, PTS 1-3, 2011, 308-310 : 1029 - 1032
  • [7] A military effectiveness analysis and decision making framework for naval ship design and acquisition
    Hootman, JC
    Whitcomb, C
    [J]. NAVAL ENGINEERS JOURNAL, 2005, 117 (03) : 43 - 61
  • [8] Ship type selection based on group decision-making with multi-objects
    Hou, Yuan-Hang
    Hu, Yu-Long
    Wang, Wen-Quan
    Guo, Chun-Yu
    Wang, Chao
    [J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2012, 46 (03): : 385 - 389
  • [9] AN AI-BASED DECISION SUPPORT SYSTEM FOR NAVAL SHIP DESIGN
    HARTMAN, PJ
    CHOU, YC
    BENJAMIN, CO
    [J]. NAVAL ENGINEERS JOURNAL, 1992, 104 (04) : 106 - 108
  • [10] A PSO-based group decision making model with multiplicative reciprocal matrices under flexibility
    Fang Liu
    Yuhao Wu
    Jiawei Zhang
    Qin Yu
    [J]. Soft Computing, 2019, 23 : 10901 - 10910