全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

一种基于变权的动态多属性决策方法

DOI: 10.13195/j.kzyjc.2012.1670, PP. 494-498

Keywords: 动态多属性决策,变权方法,广义优序法,逼近理想解的排序法

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对实际问题中决策信息不完全的动态多属性决策问题,提出了广义优序法.将决策问题转化为各方案的广义优序数矩阵问题,并在此基础上引入逼近理想解的排序法思想,提出了确定属性权重和时间权重的变权方法.该方法体现了对决策属性、时间样本的重要性和决策者的主观偏好,使得决策结果更加符合决策者的选择.最后通过实例分析验证了所提出方法的科学性和有效性.

References

[1]  (Jin L C, Li W Z. Order number methods for MCDM and its applications[J]. Systems Engineering-Theory & Practice, 1984, 4(3): 9-16.)
[2]  陈春芳, 朱传喜, 黄先玖. 多属性决策的等级偏好优序法[J]. 系统工程理论与实践, 2012, 32(7): 1506-1516.
[3]  (Chen C F, Zhu C X, Huang X J. Rank preference optimal ordering method in the multi-attribute decision making[J]. Systems Engineering-Theory & Practice, 2012, 32(7): 1506-1516.)
[4]  Gang X, Zhang J L. Variable precision rough set for group decision-making: An application[J]. Int J of Approximate Reasoning, 2008, 49(2): 331-343.
[5]  章玲, 周德群. 基于lambda 模糊测度的变权关联多属性决策分析[J]. 控制与决策, 2008, 23(3): 267-272.
[6]  (Zhang L, Zhou D Q. Multi-attribute decision making with variable weight and relationship based on?\lambda fuzzy measures[J]. Control and Decision, 2008, 23(3): 267-272.)
[7]  陈超, 沙基昌, 刘俊先, 等. 分组变权综合评估方法及应用[J]. 系统管理学报, 2007, 16(3): 341-344.
[8]  (Chen C, Sha J C, Liu J X, et al. Evaluation method of groupped variable weight sgnthesizing and its application[J]. J of Systems & Management, 2007, 16(3): 341-344.)
[9]  杨宝臣, 陈跃. 基于变权和TOPSIS 方法的灰色关联决策模型[J]. 系统工程, 2011, 29(6): 106-112.
[10]  (Yang B C, Chen Y. Grey relational decision-making model based on variable weight and TOPSIS method[J]. Systems Engineering, 2011, 29(6): 106-112.)
[11]  兰蓉, 范九伦. 三参数区间值模糊集上的TOPSIS 决策方法[J]. 系统工程理论与实践, 2009, 29(2):129-136.
[12]  (Lan R, Fan J L. TOPSIS decision-making method on three parameters interval-valued fuzzy sets[J]. Systems Engineering-Theory & Practice, 2009, 29(2): 129-136.)
[13]  Yue Z L. Extension of TOPSIS to determine weight of decision maker for group decision making problems with uncertain information[J]. Expert Systems with Applications, 2012, 39(7): 6343-6350.
[14]  Lin Y, Lee P, Chang T, et al. Multi-attribute group decision making model under the condition of uncertain information[J]. Automation in Construction, 2008, 17(6): 792-797.
[15]  Slim B K, Jean-Marc M. A distance-based collective weak ordering[J]. Group Decision and Negotiation, 2001, 10(4): 317-329.
[16]  Tomas G, Thomas H. Nonessential objectives within network approaches for MCDM[J]. European J of Operational Research, 2006, 168(2):584-592.
[17]  Wei G W. Grey relational analysis model for dynamic hybrid multiple attribute decision making[J]. Knowledge-based Systems, 2011, 24(5): 672-679.
[18]  Lin Y H, Lee P C, Ting H I. Dynamic multi-attribute decision making model with grey number evaluations[J]. Expert Systems with Applications, 2008, 35(4): 1638-1644.
[19]  Xu Z S. On multi-period multi-attribute decision making[J]. Knowledge-based Systems, 2008, 21(2): 164-171.
[20]  黄玮强, 姚爽, 郭亚军. 不完全指标偏好信息下的动态综合评价模型与应用[J]. 东北大学学报: 自然科学版, 2011, 32(6): 891-894.
[21]  (Huang W Q, Yao S, Guo Y J. Dynamic comprehensive evaluation model of incomplete index preference information and its application[J]. J of Northeastern University: Natural Science, 2011, 32(6): 891-894.)
[22]  郭亚军, 唐海勇, 曲道钢. 基于最小方差的动态综合评价方法及应用[J]. 系统工程与电子技术, 2010, 32(6): 1225-1228.
[23]  (Guo Y J, Tang H Y, Qu D G. Dynamic comprehensive evaluation method and its application based on minimal variability[J]. Systems Engineering and Electronics, 2010, 32(6): 1225-1228.)
[24]  Xu Z S, Yager R R. Dynamic intuitionistic fuzzy multi-attribute decision making[J]. Int J of Approximate Reasoning, 2008, 48(1): 246-262.
[25]  金良超, 李为柱. 多目标决策的优序法及应用[J]. 系统工程理论与实践, 1984, 4(3): 9-16.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133