An ordinal information retrieval model

被引：20

作者：

Bordogna, G ^{[1
]}

Pasi, G ^{[1
]}

机构：

[1] CNR, ITIM, I-20131 Milan, Italy

来源：

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 2001年 / 9卷 / SUPPL.期

关键词：

Information Retrieval models; linguistic variables; relevance; linguistic quantifiers;

D O I：

10.1142/S0218488501000995

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper an ordinal Information Retrieval model is proposed, which is formalised within fuzzy set theory and is based on the notion of linguistic granules of information. Linguistic expressions are defined to represent and manage the importance of both the index terms as descriptors of the information items and the query terms (content selectors) as descriptors of users' needs. The advantage of this approach with respect to the (numeric) fuzzy IR models is that the query evaluation mechanism and the definition of the importance semantics are simplified.

引用

页码：63 / 75

页数：13

共 16 条

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[2]

2-I

[3] LINGUISTIC AGGREGATION OPERATORS OF SELECTION CRITERIA IN FUZZY INFORMATION-RETRIEVAL [J].