基于SIR的MCDM方法:在三级模糊结构结构上使用混合模糊号码选择木炭公司
Muthunandhini Rajadurai1, Palanivel Kaliyaperumal1
1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
Heliyon
|January 31, 2024
概括
本研究介绍了多标准决策 (MCDM) 的三重模糊 (TV) 结构,以对木炭生产的企业进行排名. 这种新的方法有效地处理模糊的数据,优于其他MCDM方法.
科学领域:
- 运营研究 运营研究
- 决策科学 决策科学 决策科学
- 环境工程 环境工程
背景情况:
- 多标准决策 (MCDM) 有助于在各行业中选择最佳解决方案.
- 现有的MCDM方法面临的挑战是不确定的和模糊的信息.
- 选择可持续实践的公司,比如废物转化为木炭的生产,需要强大的决策工具.
研究的目的:
- 在MCDM中引入一个创新的三级模糊 (TV) 框架,用于优越和劣势排名 (SIR).
- 通过使用TV-SIR方法来处理从废弃的子中制造木炭的企业的选择.
- 为了证明框架在处理间隔模糊,犹模糊和负间隔模糊数的有效性.
主要方法:
- 三重波形 (TV) 结构的开发,包括各种模糊的数字类型.
- 应用优越性和劣势排名 (SIR) 方法来完成排名.
- 使用电视值来表示用于决策的评估信息.
主要成果:
- 拟议的TV-SIR框架成功对木炭生产的四家公司进行了排名.
- 对比分析显示,TV-SIR方法优于TOPSIS,灰色和PROMETHEE方法.
- 该框架有效地管理了决策标准中的犹和模糊性.
结论:
- 三重模糊 (TV) 结构为复杂的选择问题提供了有效的MCDM解决方案.
- 这种方法通过强有力的处理不确定的和模糊的数据来增强决策.
- 该框架为选择可持续制造业的公司提供了有价值的见解,特别是从废物中生产木炭.
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