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中国管理科学 ›› 2021, Vol. 29 ›› Issue (3): 199-209.doi: 10.16381/j.cnki.issn1003-207x.2019.0071

• 论文 • 上一篇    下一篇

基于共识模型和ORESTE的扩展概率语言多属性群决策方法

刘培德, 滕飞   

  1. 山东财经大学管理科学与工程学院, 山东 济南 250014
  • 收稿日期:2019-01-11 修回日期:2019-07-10 发布日期:2021-04-02
  • 通讯作者: 滕飞(1990-),女(汉族),山东烟台人,山东财经大学管理科学与工程学院,预聘制副教授,博士,研究方向:决策理论与优化方法,E-mail:tf1049158564@163.com. E-mail:tf1049158564@163.com
  • 作者简介:滕飞(1990-),女(汉族),山东烟台人,山东财经大学管理科学与工程学院,预聘制副教授,博士,研究方向:决策理论与优化方法,E-mail:tf1049158564@163.com.
  • 基金资助:
    国家自然科学基金资助项目(71771140);山东省泰山学者工程专项经费资助项目(ts201511045);山东省自然科学基金资助项目(ZR2020QG002);山东省社会科学规划项目(20CSDJ23)

Multiple Attribute Group Decision-Making Method Based on Consensus Model and ORESTE Method for Extended Probabilistic Linguistic Term Set

LIU Pei-de, TENG Fei   

  1. School of Management Science and Engineering, Shandong University of Finance and Economic, Jinan 250014, China
  • Received:2019-01-11 Revised:2019-07-10 Published:2021-04-02

摘要: 扩展概率语言词集作为一种更具通用性的语言信息表示模型,能够更加充分地描述原始评价信息,提高语言多属性决策的科学性。鉴于此,本文针对扩展概率语言环境下的多属性群决策问题,提出一种基于共识模型和ORESTE方法的多属性群决策方法。首先,给出了扩展概率语言词集的概念以及相关理论。其次,考虑到群决策过程中专家群体因知识背景以及素质能力的不同从而给出不同的评价信息导致群体意见不一致的情况,提出了扩展概率语言环境下的共识模型。再次,鉴于多数情况下备选方案间不存在单一排序顺序,本文对经典的ORESTE方法进行改进,提出扩展概率语言ORESTE方法。基于本文提出的扩展概率语言共识模型和扩展概率语言ORESTE方法,提出了扩展概率语言多属性群决策方法。最后,为了验证本文提出方法的有效性和合理性,采用共享单车设计方案评价算例进行分析,并通过与其他方法的对比分析说明本文提出方法的优越性。

关键词: 扩展概率语言词集, 共识模型, ORESTE方法, 多属性群决策

Abstract: As a more general linguistic information representation model, extended probabilistic linguistic term set can describe original evaluation more fully and improve scientificity of decision-making. With respect to group decision-making problems under extended probabilistic linguistic environment, the group decision-making method is propased based on consensus model and ORESTE method. Firstly, the concept and relative theories of extended probabilistic linguistic term set are given. Secondly, the consensus model under extend probabilistic linguistic environment is proposed to handle with different opinions from different groups. Thirdly, the extended probabilistic linguistic ORESTE method is developed to deal with decision-making problems where there is no single order between multiple alternatives. Based on this, a novel multiple attribute group decision-making method is proposed based on consensus model and ORESTE method. Lastly, a case study about shares bicycle design scheme is used to verify the validity and rationality of the proposed method. After that, the comparisons with other existing methods are further carried out to show its rationality and advantages.

Key words: extended probabilistic linguistic term set, consensus model, ORESTE method, multiple attribute group decision-making

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