OWA:有序加权平均
“有序加权平均”(Ordered Weighted Averaging,常缩写为OWA)是一种广泛应用于多准则决策和信息融合领域的集成算子。通过将数据按顺序排列并赋予特定权重,它能够有效平衡不同指标的重要性,常用于模糊系统、数据聚合等场景。该缩写形式便于日常书写与快速交流,尤其在跨学科研究和工程应用中十分常见。
Ordered Weighted Averaging具体释义
Ordered Weighted Averaging的英文发音
例句
- Induced ordered weighted averaging operator ( IOWA ) that is widely used, is a new information aggregating operator.
- 诱导有序加权平均(OWA)算子是一种新的信息集结算子,用途非常广泛。
- The weighted averaging operator and the ordered weighted averaging operator for linguistic distribution assessments are presented.
- 提出了语义的分布评价的加权平均算子和OWA算子。
- A new approach for game tree searching based on the ordered weighted averaging ( OWA ) aggregation is presented.
- 提出了一种基于有序加权平均(OWA)(OrderedWeightedAveraging&OWA)的博奕树搜索方法。
- The ordered weighted averaging ( T-OWA ) operator for two-tuple linguistic information is described.
- 首先描述了二元语义信息集结的有序加权平均(OWA)(T-OWA)算子,并提出一种有序加权几何(T-OWG)算子;
- The basic theory of two-tuple linguistic information, the definition and calculation methods of the ordered weighted averaging ( T-OWA ) operator were introduced.
- 对二元语义的基本理论知识进行了介绍,给出了T-OWA算子的定义和计算方法。
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