JOURNAL ARTICLE

Vagueness and uncertainty in information retrieval

Abstract

The field of fuzzy information systems has grown and is maturing. In this paper, some applications of fuzzy set theory to information retrieval are described, as well as the more recent outcomes of research in this field. Fuzzy set theory is applied to information retrieval with the main aim being to define flexible systems, i.e., systems that can represent and manage the vagueness and subjectivity which characterizes the process of information representation and retrieval, one of the main objectives of artificial intelligence.

Keywords:
Vagueness Computer science Fuzzy set Field (mathematics) Fuzzy logic Information retrieval Artificial intelligence Set (abstract data type) Information system Representation (politics) Data mining Mathematics Engineering

Metrics

15
Cited By
1.28
FWCI (Field Weighted Citation Impact)
86
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Multi-Criteria Decision Making
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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