Linguistic Fuzzy Modeling is a formal framework within fuzzy multi-criteria decision making that employs linguistic variables and fuzzy logic to represent qualitative assessments and human reasoning in decision processes, distinguishing itself by translating natural language expressions into structured fuzzy rule-based systems for handling uncertainty and imprecision.
1.5K
Publications
104.1K
Citations
2.6K
Authors
1K
Institutions
Publications per year
2017–2026
653
Publications
1.5K
1–5 of 1.5K
Authors
2.6K
- FH
42
h-index
- ZX
40
h-index
- EH
36
h-index
- HL
33
h-index
- GW
30
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1–5 of 2.6K
Institutions
1K
Universidad de Granada
Granada, Spain
62 h-index
282 publications
36.3K citations
Sichuan University
Chengdu, China
48 h-index
223 publications
23.5K citations
Universidad de Jaén
Jaén, Spain
39 h-index
114 publications
11.9K citations
Central South University
Changsha, China
37 h-index
184 publications
15.6K citations
King Abdulaziz University
Jeddah, Saudi Arabia
30 h-index
67 publications
5.7K citations
Shandong University of Finance and Economics
Jinan, China
25 h-index
77 publications
3.1K citations
Nanjing University of Information Science and Technology
Nanjing, China
23 h-index
30 publications
3.9K citations
Sichuan Normal University
Chengdu, China
23 h-index
68 publications
4K citations
1–8 of 1K
Venues
- Information Sciences
62 publications · 9.2K citations
42
h-index
- Expert Systems with Applications
65 publications · 4.8K citations
39
h-index
- IEEE Transactions on Fuzzy Systems
TFS · 48 publications · 10.9K citations
37
h-index
- Applied Soft Computing
57 publications · 3.2K citations
35
h-index
- International Journal of Intelligent Systems
45 publications · 2.5K citations
29
h-index
1–5