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用WASPAS方法和Aczel-Alsina聚合运算符来管理复杂的间隔值直观模糊信息,以及它们在决策中的应用
Haojun Fang1, Tahir Mahmood2, Zeeshan Ali2
1Wuxi Vocational College of Science and Technology, Wuxi, China.
本研究介绍了Aczel-Alsina对复杂间隔值直觉模糊 (CIVIF) 集的运行定律,增强了对模两可的数据的管理. 开发了新的聚合运营商和WASPAS方法用于决策,表现出卓越的性能.
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
- 信息管理 信息管理
背景情况:
- 传统的模糊集与模糊和不一致性作斗争.
- 阿切尔-阿尔西纳t-规范为管理复杂数据提供了广泛的参数值.
- 复杂的区间值直觉模糊 (CIVIF) 集为不确定性提供了一个框架.
研究的目的:
- 在 CIVIF 集合理论中探索 Aczel-Alsina 运算定律.
- 为CIVIF信息开发新的聚合运营商.
- 引入针对CIVIF数据量身定制的WASPAS方法,并评估其决策能力.
主要方法:
- 对CIVIF集的Aczel-Alsina运行法规的制定.
- 引入CIVIF Aczel-Alsina权重平均,有序权重平均和混合平均运营商.
- 扩展CIVIF Aczel-Alsina加权几何,有序加权几何和混合几何运算符.
- 对CIVIF信息的WASPAS方法的推导和应用.
- 展示多属性决策 (MADM) 战略.
主要成果:
- 拟议的新型 CIVIF Aczel-Alsina 聚合运营商 (例如,CIVIFAAWA,CIVIFAAOWA,CIVIFAAHA,CIVIFAAWG,CIVIFAAOWG,CIVIFAAHG).这些运营商将在未来几年内完成.
- 对拟议运营商的属性和特殊情况的详细推导.
- 在CIVIF信息中成功应用了WASPAS方法.
- 通过多属性决策 (MADM) 实例验证拟议的方法.
结论:
- 阿切尔-阿尔西纳操作法有效地管理CIVIF集中的模两可和不一致的信息.
- 开发的聚合运算符和WASPAS方法为复杂的决策提供了强大的工具.
- 灵敏度分析和几何表示证实了拟议方法的优势和主导地位.
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