一个多阶段的小组决策方法,以可持续的供应商选择,基于概率的语言时间顺序激励经营者
Faming Zhang1, Meixing Li1, Zhaoqing Ye2
1Business School, Guilin University of Electronic Technology, Guilin, China.
PloS one
|October 31, 2023
概括
本研究引入了一种新的群组决策方法,使用概率语言术语来评估考虑其发展趋势的替代方案. 该方法通过分析其多阶段的表现和未来潜力,有效地选择可持续供应商.
科学领域:
- 运营研究 运营研究
- 决策科学 决策科学 决策科学
- 供应链管理 供应链管理
背景情况:
- 传统的决策方法经常与不确定性和动态属性作斗争.
- 评估替代方案需要考虑当前状态和未来发展趋势.
- 概率语言术语集 (PLTS) 提供了一种强大的方法来处理定性,不确定的信息.
研究的目的:
- 开发一种新的多阶段,多属性集团决策 (GDM) 方法.
- 将替代品的发展状态和趋势纳入概率语言环境中.
- 通过考虑动态性能和未来潜力来加强可持续的供应商选择.
主要方法:
- 使用概率语言术语集 (PLTS) 进行定性数据表示.
- 确定决策者 (DM) 使用可信度,犹和相似度的权重.
- 雇员奖励/惩罚激励措施来衡量趋势变化程度和稳定性.
- 开发了一个概率语言时间顺序激励运算符,用于聚合时间数据.
- 应用了一个扩展的TOPSIS方法来优先考虑在概率语言环境中的替代方案.
主要成果:
- 提出的GDM方法成功地整合了多个阶段的发展状态和替代品的趋势.
- 决策者权重根据属性重要性和时间因素进行了动态调整.
- 扩展的TOPSIS方法有效地根据其概率语言评估和趋势对替代方案进行了排名.
结论:
- 开发的决策框架为多阶段,多属性GDM提供了有效的方法.
- 该方法在可持续供应商选择方面证明了其实际适用性和有效性.
- 考虑到发展状态和趋势,可以显著提高供应商选择的准确性和可靠性.
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