基于双极复杂模糊语言的WASPAS方法对地理信息系统中的合的分析 Aczel-Alsina功率聚合运营商
Zeeshan Ali1, Khizar Hayat2, Dragan Pamucar3,4,5
1Department of Information Management, National Yunlin University of Science and Technology, Douliou, Yunlin, Taiwan.
PloS one
|September 6, 2024
概括
本研究介绍了双极复杂模糊语言集的Aczel-Alsina运行定律和功率聚合运算符,增强了地理信息系统 (GIS) 的决策. 新方法改善了复杂空间数据分析的多属性决策.
科学领域:
- 信息科学 信息科学 信息科学
- 计算机科学 计算机科学
- 数学 数学 是一个数学.
背景情况:
- 双极复杂的模糊语言集对于处理不确定的信息至关重要.
- 现有的模糊集技术是这些复杂集的特殊情况.
- 地理信息系统 (GIS) 需要分析组件关系的方法.
研究的目的:
- 为了模拟双极复杂模糊语言价值的Aczel-Alsina操作规律.
- 为双极复杂的模糊语言数据开发Aczel-Alsina功率聚合运算符.
- 将这些运营商应用于GIS的多属性决策.
主要方法:
- 定义了双极复杂模糊语言值的Aczel-Alsina运行定律 (t-norm和t-conorm).
- 引入了双极复杂模糊语言学Aczel-Alsina功率平均和几何运算符.
- 使用权重聚合物总和产品评估 (WASPAS) 技术进行决策.
主要成果:
- 为新运营商建立了基本的法律 (无力,单调,有限).
- 通过数值示例证明了拟议运营商的有效性.
- 将排名结果与GIS应用中普遍存在的技术进行了比较.
结论:
- 拟议的Aczel-Alsina操作规则和功率聚合运营商有效地处理复杂的模糊语言数据.
- 开发的多属性决策模型为GIS问题提供了强大的方法.
- 该研究为分析地理信息系统中的空间信息和组件关系提供了有价值的工具.
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