Fuzzy Retrieval Models is a probabilistic retrieval framework that extends classical retrieval models by incorporating fuzzy set theory to represent and reason about partial relevance and uncertainty in document-query matching.
191
Publications
7K
Citations
372
Authors
193
Institutions
Publications per year
2017–2026
13
Variants
Fuzzy Information Retrieval Models
Parents
Publications
191
1–5 of 191
Authors
372
- GP
11
h-index
- GBGloria Bordogna
Institute for the Dynamics of Environmental Processes, Italy
10 publications · 670 citations
10
h-index
- EH
7
h-index
- DH
7
h-index
- SCShyi‐Ming Chen
National Taiwan University of Science and Technology, Taiwan
7 publications · 346 citations
6
h-index
1–5 of 372
Institutions
193
Louisiana State University
Baton Rouge, United States
8 h-index
12 publications
565 citations
Universidad de Granada
Granada, Spain
8 h-index
18 publications
667 citations
University of Tsukuba
Tsukuba, Japan
6 h-index
7 publications
234 citations
University of Milan
Milan, Italy
6 h-index
8 publications
286 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
5 h-index
15 publications
540 citations
Istituto di Astrofisica Spaziale e Fisica Cosmica di Milano
Milan, Italy
4 h-index
10 publications
989 citations
University of Wrocław
Wroclaw, Poland
3 h-index
3 publications
59 citations
Colorado School of Mines
Golden, United States
3 h-index
5 publications
128 citations
1–8 of 193
Venues
- Fuzzy Sets and Systems
10 publications · 447 citations
10
h-index
- Expert Systems with Applications
7 publications · 303 citations
7
h-index
- Information Processing & Management
7 publications · 522 citations
7
h-index
- Journal of the American Society for Information Science
JASIS · 6 publications · 558 citations
6
h-index
- Soft Computing
6 publications · 265 citations
6
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1–5