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一种基于间隔值图像模糊集的设计概念评估的新型MCDM方法
Qing Ma1, Hongyuan Sun1, Zhe Chen1
1Shandong Jiaotong University, Jinan, China.
PloS one
|November 27, 2023
概括
本研究引入了一种新的多标准决策 (MCDM) 方法,使用区间值图像模糊集 (IVPFS) 来评估设计概念. 这种方法有效地处理复杂评估中的不确定性和模糊性,从而导致更好的产品开发决策.
科学领域:
- 工程和技术工程和技术.
- 决策科学 决策科学
- 人工智能的人工智能
背景情况:
- 设计概念评估对于企业的竞争力至关重要,但涉及复杂的多标准决策 (MCDM).
- 由于主观数据,现有的MCDM方法在评估设计概念时与固有的不确定性和模糊性作斗争.
- 需要强大的方法来处理设计评估中的不准确信息.
研究的目的:
- 为设计概念评估开发一个增强的MCDM框架,以解决不确定性和模糊性.
- 将区间值图像模糊集 (IVPFS) 整合到设计概念的全面决策过程中.
- 提高在复杂场景中选择最佳设计概念的准确性和可靠性.
主要方法:
- 基于文献和专家经验的评估指标系统的开发.
- 介绍了区间值图片模糊数 (IVPFNs) 和IVPFOWIA操作员.
- 应用权衡方法用于标准权衡和扩展TOPSIS方法用于使用IVPFS进行替代选择.
主要成果:
- 一种基于IVPFS的新型MCDM方法已成功开发并应用于设计概念评估.
- 提出的方法在处理复杂和不确定的决策情况下表现出卓越的表现.
- 实验和比较分析证实了IVPFS增强在描述信息模糊性的有效性.
结论:
- 与改进的MCDM技术相结合的IVPFS为在不确定性下设计概念评估提供了强大的解决方案.
- 这项研究为更可靠和客观的设计概念选择提供了科学严格的框架.
- 拟议的方法改善了企业的决策,从而产生了更具市场价值的产品.
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