Rough set, Data mining, Granular computing, Dominance-based rough set approach and Reduct are his primary areas of study. His studies in Rough set integrate themes in fields like Discrete mathematics, Binary relation, Approximation algorithm, Formal concept analysis and Axiom. His Data mining research incorporates elements of Entropy, Feature selection, Artificial intelligence and Reduction.
His studies deal with areas such as Concept learning and Machine learning as well as Artificial intelligence. His study looks at the relationship between Granular computing and fields such as Theoretical computer science, as well as how they intersect with chemical problems. His work carried out in the field of Dominance-based rough set approach brings together such families of science as Algorithm, Decision table and Decision rule.
Yuhua Qian mostly deals with Rough set, Data mining, Artificial intelligence, Granular computing and Dominance-based rough set approach. His Rough set study integrates concerns from other disciplines, such as Fuzzy logic, Entropy and Algorithm. The concepts of his Data mining study are interwoven with issues in Reduction, Fuzzy number, Fuzzy classification, Fuzzy set operations and Feature selection.
His research integrates issues of Concept learning, Machine learning and Pattern recognition in his study of Artificial intelligence. Yuhua Qian focuses mostly in the field of Granular computing, narrowing it down to matters related to Theoretical computer science and, in some cases, Lattice and Discrete mathematics. His Dominance-based rough set approach research includes elements of Ranking, Measure and Binary relation.
His scientific interests lie mostly in Artificial intelligence, Rough set, Reduction, Pattern recognition and Fuzzy logic. The Artificial intelligence study combines topics in areas such as Bridge and Machine learning. Rough set is a subfield of Data mining that Yuhua Qian tackles.
His Data mining research includes themes of Feature extraction and Scoring algorithm. His work on Reduct as part of general Reduction research is frequently linked to Stationary wavelet transform, thereby connecting diverse disciplines of science. His Fuzzy logic research is multidisciplinary, incorporating perspectives in Algorithm, Redundancy, Monotonic function and Decision model.
The scientist’s investigation covers issues in Rough set, Entropy, Fuzzy logic, Pattern recognition and Artificial intelligence. His research on Rough set concerns the broader Data mining. Within one scientific family, Yuhua Qian focuses on topics pertaining to Feature selection under Entropy, and may sometimes address concerns connected to Scoring algorithm, Feature extraction and Data classification.
His Fuzzy logic research incorporates elements of Majority rule, Decision tree, Decision table, Monotonic function and Equivalence relation. He combines subjects such as Similarity, Variable, Categorical variable and Algorithm with his study of Monotonic function. Yuhua Qian has researched Reduct in several fields, including Relation and Binary relation.
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Positive approximation: An accelerator for attribute reduction in rough set theory
Yuhua Qian;Jiye Liang;Witold Pedrycz;Chuangyin Dang.
Artificial Intelligence (2010)
MGRS: A multi-granulation rough set
Yuhua Qian;Jiye Liang;Yiyu Yao;Chuangyin Dang.
Information Sciences (2010)
Incomplete Multigranulation Rough Set
Yuhua Qian;Jiye Liang;Chuangyin Dang.
systems man and cybernetics (2010)
Multigranulation decision-theoretic rough sets
Yuhua Qian;Hu Zhang;Yanli Sang;Jiye Liang.
International Journal of Approximate Reasoning (2014)
Test-cost-sensitive attribute reduction
Fan Min;Huaping He;Yuhua Qian;William Zhu.
Information Sciences (2011)
A Group Incremental Approach to Feature Selection Applying Rough Set Technique
Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian.
IEEE Transactions on Knowledge and Data Engineering (2014)
Concept learning via granular computing
Jinhai Li;Changlin Mei;Weihua Xu;Yuhua Qian.
Information Sciences (2015)
Three-way cognitive concept learning via multi-granularity
Jinhai Li;Chenchen Huang;Jianjun Qi;Yuhua Qian.
Information Sciences (2017)
Multigranulation rough sets: From partition to covering
Guoping Lin;Guoping Lin;Jiye Liang;Yuhua Qian.
Information Sciences (2013)
Interval ordered information systems
Yuhua Qian;Jiye Liang;Chuangyin Dang.
Computers & Mathematics With Applications (2008)
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