综合运用可拓决策方法、聚类分析、重心法，建立了基于可拓理论的粮食物流中心选址模型。
A grain logistics center location model based on extension theory is put forward, which applies extension decision method, cluster analysis and gravity method together.
讨论了可拓学与可拓决策产生的实际背景，可拓集合与经典集合、模糊集合之间的区别和联系。研究了可拓集合的特点及其可拓决策应用的前景。
This paper introduces extension and extension decision, relations and differences among extension set, classical set and fuzzy set and study trait of extension set and applied extension decision.
提出的可拓数据挖掘模式，有利于利用现存数据更好地为决策服务。
The extension data mining model, which is given in this article, is favorable to using existing data for making decision.
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