What is he best known for?
The fields of study Da Ruan is best known for:
- Propositional calculus
- Operations research
- Fuzzy logic
His Artificial intelligence study frequently draws connections between related disciplines such as Selection (genetic algorithm).
His research links Artificial intelligence with Selection (genetic algorithm).
He combines Fuzzy logic and Fuzzy set in his research.
In his works, Da Ruan conducts interdisciplinary research on Fuzzy set and Fuzzy number.
He connects Fuzzy number with Fuzzy logic in his study.
Data mining and Rough set are two areas of study in which Da Ruan engages in interdisciplinary research.
He performs integrative study on Operations research and Analytic hierarchy process.
Da Ruan connects Analytic hierarchy process with Operations research in his study.
In most of his Programming language studies, his work intersects topics such as Set (abstract data type).
His most cited work include:
- Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey (664 citations)
- Fuzzy group decision-making for facility location selection (484 citations)
- A rough sets based characteristic relation approach for dynamic attribute generalization in data mining (271 citations)
What are the main themes of his work throughout his whole career to date
Da Ruan conducts interdisciplinary study in the fields of Artificial intelligence and Algorithm through his research.
In his papers, he integrates diverse fields, such as Algorithm and Artificial intelligence.
He integrates Fuzzy logic and Fuzzy set in his research.
Da Ruan undertakes multidisciplinary investigations into Fuzzy set and Fuzzy number in his work.
In his study, Da Ruan carries out multidisciplinary Fuzzy number and Fuzzy logic research.
His Set (abstract data type) research extends to the thematically linked field of Programming language.
Da Ruan frequently studies issues relating to Programming language and Set (abstract data type).
He performs multidisciplinary studies into Operating system and Process (computing) in his work.
He brings together Process (computing) and Operating system to produce work in his papers.
Da Ruan most often published in these fields:
- Artificial intelligence (77.78%)
- Fuzzy logic (48.89%)
- Data mining (31.11%)
What were the highlights of his more recent work (between 2013-2016)?
- Data mining (66.67%)
- Artificial intelligence (66.67%)
- Programming language (66.67%)
In recent works Da Ruan was focusing on the following fields of study:
Much of his study explores Data mining relationship to Granular computing.
His multidisciplinary approach integrates Granular computing and Rough set in his work.
In his work, Da Ruan performs multidisciplinary research in Rough set and Data mining.
His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Fuzzy clustering.
In his works, he conducts interdisciplinary research on Fuzzy clustering and Cluster analysis.
He integrates Cluster analysis and Machine learning in his studies.
He merges Machine learning with Fuzzy logic in his research.
In his work, he performs multidisciplinary research in Fuzzy logic and Fuzzy classification.
Da Ruan performs integrative study on Fuzzy classification and Fuzzy set in his works.
Between 2013 and 2016, his most popular works were:
- Another paraconsistent algebraic semantics for Lukasiewicz–Pavelka logic (9 citations)
- A New Weighting Approach Based on Rough Set Theory and Granular Computing for Road Safety Indicator Analysis (8 citations)
- Learning and clustering of fuzzy cognitive maps for travel behaviour analysis (6 citations)
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