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文献如何准确而又有效地在计算机中表示出来,在模糊检索智能检索中具有很重要的意义.本文应用模糊集合论中隶属度的确定方法,对这一问题进行讨论。我们知道,布尔检索模型是在二值逻辑的基础上建立起来的。二值逻辑在数学上的描述是普通集合。普通集合要求一个元素要么属于它,要么不属于它,二者必择其一,决不能模棱两可。但人脑在考虑问题时却允许模糊输入和输出。情报系统是人工产物,文献相关与否全凭用户的大脑决定。人们自然会提出这样的问题,能否构造模糊检索模型?模糊检索模型是否比布尔模型有效?前一问题的回答是肯定的,现在不少人对这个
How to accurately and effectively display the documents in the computer is of great significance in the retrieval of fuzzy retrieval.In this paper, the determination of membership degree in fuzzy set theory is used to discuss this issue. We know that the Boolean search model is built on the basis of binary logic. The mathematical description of binary logic is a common set. Ordinary assembly requires an element either belongs to it, or does not belong to it, the two must choose one, must not be ambiguous. However, the human brain allows fuzzy input and output when considering the problem. Intelligence system is artificial product, the literature related or not depends entirely on the user's brain decision. People will naturally ask such questions, whether to construct fuzzy retrieval model? Fuzzy retrieval model is more effective than the Boolean model? The answer to the previous question is affirmative, and now many people on this