Two ranking methods about fuzzy number are built, and relevant decision models and their practical application are presented.
建立了模糊数的两种排序方法，给出了相应的决策模型及其实际应用。
This paper explores vector-based similarity computing scheme, and discusses the application of similarity in class, cluster, ranking and relevance feedback.
本文就基于向量的相似度计算方案进行探讨，并论述了相似度在文档分类、聚类、排序与相关性反馈中的应用。
Finally, the offline model and online model of this algorithm were combined to detail the application in ranking of search engine.
最后，把该算法的离线模型和在线模型统一起来，阐明了算法在搜索引擎排名中的运行机制。
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