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Rough Sets and Fuzzy Logic

TopicLeading institutions, researchers & key papers

Rough Sets and Fuzzy Logic is a topic indexed in ScholarIQ from OpenAlex.

What is known about Rough Sets and Fuzzy Logic?

ScholarIQrecord summary

This cluster of papers explores the theory and applications of rough sets, granular computing, feature selection, decision analysis, information granulation, fuzzy rough sets, concept lattices, knowledge reduction, three-way decisions, and probabilistic rough sets in various domains.

How many works does Rough Sets and Fuzzy Logic have?

ScholarIQindexed works

Rough Sets and Fuzzy Logic has 53,489 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Rough Sets and Fuzzy Logic have?

ScholarIQcitation count

Rough Sets and Fuzzy Logic has 650,699 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Rough Sets and Fuzzy Logic?

ScholarIQopenalex

The OpenAlex for Rough Sets and Fuzzy Logic is on the source record.

Who are the most-cited researchers behind Rough Sets and Fuzzy Logic?

ScholarIQtop researchers by citations
1
Steven L. Salzberg · Genomics and Phylogenetic Studies
599 works374,640 citations
2
Leo Breiman · Advanced Statistical Methods and Models
150 works237,907 citations
3
David Haussler · Genomics and Phylogenetic Studies
713 works207,328 citations
4
Paul M. Thompson · Advanced Neuroimaging Techniques and Applications
3,613 works194,315 citations
5
Michael I. Jordan · Bayesian Methods and Mixture Models
1,194 works182,015 citations

Where is Rough Sets and Fuzzy Logic research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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