Concept Granularity
Concept Granularity is a conceptual modeling construct that specifies the level of detail at which a concept is represented within a domain ontology, distinguishing it by the extent to which constituent elements are decomposed or aggregated in relation to their semantic scope and contextual application.
122
Publications
10.3K
Citations
264
Authors
148
Institutions
Publications per year
2017–2026
43
Parents
122
Three-way decision and granular computing
Yiyu Yao · International Journal of Approximate Reasoning · 2018 · 593 citations
Three-way cognitive concept learning via multi-granularity
Jinhai Li, Chenchen Huang, Jianjun Qi et al. · Information Sciences · 2016 · 380 citations
1–5 of 122
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148

University of Regina
Regina, Canada
11 h-index
15 publications
1.6K citations
Kunming University of Science and Technology
Kunming, China
11 h-index
21 publications
2.2K citations
Shanxi University
Taiyuan, China
10 h-index
18 publications
2K citations

University of Alberta
Edmonton, Canada
9 h-index
11 publications
521 citations

Polish Academy of Sciences
Warsaw, Poland
7 h-index
7 publications
536 citations
University of California, Berkeley
Berkeley, United States
6 h-index
6 publications
3.5K citations
Systems Research Institute
Warsaw, Poland
6 h-index
6 publications
305 citations

Xidian University
Xi'an, China
5 h-index
7 publications
540 citations
1–8 of 148
10 publications · 481 citations
10
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9 publications · 1K citations
9
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9 publications · 1.2K citations
9
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7 publications · 223 citations
7
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6 publications · 147 citations
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