在基于 q-rung orthopair 模糊集的决策模型下对电力设备供应商的评估
Jiawei Mao1, JinGuo Huang1, Jing Liu1
1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, No. 1037, Juy Road, Hongshan District, Wuhan, 430074, China.
Heliyon
|December 5, 2024
概括
本研究介绍了一种基于质量的q-rung orthopair fuzzy sets (q-ROFS) 决策模型,用于评估基于质量的电力设备供应商. 该模型整合了供应风险,能力,利和对可靠电网运行的意愿.
科学领域:
- 工程 工程师 工程师 工程师
- 运营研究 运营研究
- 决策科学 决策科学 决策科学
背景情况:
- 稳定的电网运行依赖于高质量的电力设备供应商.
- 评估供应商涉及复杂的,不确定的因素,如风险和能力.
- 现有的方法在供应商质量评估中可能缺乏全面性.
研究的目的:
- 开发一个强大的决策模型来评估电力设备供应商,优先考虑质量.
- 将多个关键维度整合到统一的供应商评估框架中.
- 提高电力行业供应商选择的客观性和一致性.
主要方法:
- 使用q-rung整形夫妇模糊集 (q-ROFS) 来处理决策中的不确定性.
- 开发了一种信息融合方法,将供应风险,供应商质量能力,利影响和意愿纳入其中.
- 使用q-ROFS-FWZIC方法来准确确定重量.
- 构建了q-ROFS-MABAC方法,用于一致的供应商排名.
主要成果:
- 成功开发和验证了一种用于供应商评估的新型决策模型.
- 该模型有效地整合了各种标准,包括质量,风险,利和意愿.
- 一项针对功率变压器供应商的案例研究证明了该模型的实际有效性和可靠性.
结论:
- 提出的基于q-ROFS的模型为电力设备供应商选择提供了一种优越的方法,强调质量.
- 综合评估框架提高了决策准确性,并支持电网可靠性.
- 该方法可适应其他领域的各种多标准决策 (MCDM) 问题.
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