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A New Method for Fuzzy Query Processing for Document Retrieval Based on GFNQMA Operators

机译:基于GFNQMA运算符的文档检索模糊查询处理的新方法

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In [8], the quadratic-mean averaging (QMA) operators have been proposed to overcome the drawbacks of the T-operators [15] and the existing averaging operators (i.e., P-Norm operators [25], Infinite-One operators [26], Waller-Kraft operators [27], GMA operators [3] and WPMA operators [16]) to deal with fuzzy information retrieval of the AND and OR operations. However, the QMA operators can not deal with queries represented by generalized fuzzy numbers and interval-valued fuzzy numbers. In this research, we present generalized fuzzy-number quadratic-mean averaging (GFNQMA) operators to deal with queries based on generalized fuzzy numbers and interval-valued fuzzy numbers.
机译:在[8]中,已经提出了二次平均平均(QMA)运营商来克服T-OperAler [15]和现有平均运算符的缺点(即,P-Norm运算符[25],无限的操作员[ 26],Waller-kraft运算符[27],GMA运算符[3]和WPMA运算符[16])以处理模糊信息检索的和或运营。但是,QMA运算符不能处理广义模糊数和间隔值模糊数表示的查询。在本研究中,我们呈现了广义模糊数二次平均平均(GFNQMA)运营商,以应对基于广义模糊数和间隔值模糊数的查询。

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