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).
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.
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.
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Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey
Cengiz Kahraman;Ufuk Cebeci;Da Ruan.
Fuzzy group decision-making for facility location selection
Cengiz Kahraman;Da Ruan;Ibrahim Doǧan.
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Jie Lu;Guangquan Zhang;Da Ruan.
Yang Xu;Keyun Qin;Da Ruan;Jun Liu.
Fuzzy group decision making for selection among computer integrated manufacturing systems
Cafer Erhan Bozdağ;Cengiz Kahraman;Da Ruan.
Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems
Tijen Ertay;Da Ruan;Umut Rıfat Tuzkaya.
Information Sciences (2006)
A FUZZY MULTI-CRITERIA DECISION APPROACH FOR SOFTWARE DEVELOPMENT STRATEGY SELECTION
Gülçin Büyüközkan;Cengiz Kahraman;Da Ruan.
Computing with Words in Decision support Systems: An overview on Models and Applications
Luis Martínez;Da Ruan;Francisco Herrera.
A rough sets based characteristic relation approach for dynamic attribute generalization in data mining
Tianrui Li;Da Ruan;Wets Geert;Jing Song.
Knowledge Based Systems (2007)
Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows
Cengiz Kahraman;Da Ruan;Ethem Tolga.
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