通过中性学犹不决的模糊分区的创新艺术选择 麦克劳林对称的平均积累运算符
Jawad Ali1, Usman Khalid2, Muhammad Ahsan Binyamin2
1Department of Mathematics, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
Scientific reports
|March 12, 2025
概括
这项研究引入了对中性学犹不决的模糊集的新型运算符,以处理不确定性. 这些运营商增强决策,特别是在选择基于构成和颜色的艺术品时.
科学领域:
- 模糊的集合理论 模糊的集合理论
- 决策科学 决策科学
- 人工智能的人工智能
背景情况:
- 在日常生活和复杂的评估中,决策的不确定性很普遍.
- 现有的模糊集合理论可能无法完全捕捉微妙的不确定性.
- 中性学和犹不决的模糊集合为不确定性提供框架,但整合是关键.
研究的目的:
- 为了引入新型运算符对中性学犹不决的模糊集.
- 开发一种新的多重标准决策 (MCDM) 方法.
- 将MCDM方法应用于创新模式的艺术选择.
主要方法:
- 定义中性学犹模糊分区麦克劳林对称平均值 (NHFPMSM) 运算符的定义.
- 定义中性学犹的模糊加权分区麦克劳林对称平均值 (NHFWPMSM) 运算符.
- 使用NHFWPMSM操作员开发一个MCDM方法.
主要成果:
- 展示拟议运营商的不同属性和特殊情况.
- 成功地应用基于NHFWPMSM的MCDM方法进行艺术品选择.
- 验证该方法在识别具有吸引力的美学特色的独特艺术方面的有效性.
结论:
- 拟议的NHFPMSM和NHFWPMSM运营商有效地扩展了中性和犹不决的模糊设置能力.
- 新的MCDM方法为复杂的选择任务提供了一个结构化的方法.
- 该方法在比较研究中显示出卓越的性能和生产力.
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