What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Fuzzy logic
His scientific interests lie mostly in Fuzzy logic, Analytic hierarchy process, Operations research, Fuzzy set and Data mining.
His study on Fuzzy set operations and Fuzzy number is often connected to Group decision-making as part of broader study in Fuzzy logic.
Da Ruan has included themes like Fuzzy classification and Decision engineering in his Fuzzy set operations study.
His Operations research research includes elements of Quality, Software development, Defuzzification, Ranking and Data envelopment analysis.
Da Ruan interconnects Automation, Machine learning, Decision support system and Industrial engineering in the investigation of issues within Fuzzy set.
His Data mining research includes themes of Approximations of π and Feature selection.
His most cited work include:
- Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey (586 citations)
- Fuzzy group decision-making for facility location selection (446 citations)
- Fuzzy group decision making for selection among computer integrated manufacturing systems (247 citations)
What are the main themes of his work throughout his whole career to date?
Da Ruan focuses on Fuzzy logic, Artificial intelligence, Fuzzy set, Fuzzy number and Operations research.
Da Ruan studies Fuzzy set operations, a branch of Fuzzy logic.
His studies in Fuzzy set operations integrate themes in fields like Defuzzification and Fuzzy classification.
His study looks at the relationship between Artificial intelligence and fields such as Machine learning, as well as how they intersect with chemical problems.
His Fuzzy set research is multidisciplinary, incorporating elements of Decision support system and Rule-based machine translation.
Da Ruan has researched Fuzzy number in several fields, including Information retrieval and Membership function.
He most often published in these fields:
- Fuzzy logic (35.24%)
- Artificial intelligence (23.81%)
- Fuzzy set (18.57%)
What were the highlights of his more recent work (between 2010-2014)?
- Data mining (11.43%)
- Fuzzy logic (35.24%)
- Artificial intelligence (23.81%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Data mining, Fuzzy logic, Artificial intelligence, Process and Fuzzy set.
His studies deal with areas such as Approximations of π, Missing data and Support vector machine as well as Data mining.
The study incorporates disciplines such as Discrete mathematics, TOPSIS, Lattice, Analytic hierarchy process and Unit square in addition to Fuzzy logic.
His research integrates issues of Machine learning and Data science in his study of Artificial intelligence.
As a member of one scientific family, Da Ruan mostly works in the field of Process, focusing on Information processing and, on occasion, Natural language, Rule-based machine translation, Linguistic value and Hazard.
His Fuzzy set study incorporates themes from Belief structure, Risk analysis, Decision support system and Mathematical optimization.
Between 2010 and 2014, his most popular works were:
- Probabilistic model criteria with decision-theoretic rough sets (134 citations)
- Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems (124 citations)
- A parallel method for computing rough set approximations (99 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Algebra
Da Ruan spends much of his time researching Rough set, Dominance-based rough set approach, Group decision-making, Evidential reasoning approach and Data mining.
His Dominance-based rough set approach research incorporates elements of Matrix, Logical matrix, Complete information and Decision analysis.
His Evidential reasoning approach research integrates issues from Belief structure and Machine learning.
His work carried out in the field of Data mining brings together such families of science as Approximations of π and Theoretical computer science.
In general Operations research, his work in Multiple-criteria decision analysis is often linked to Information technology linking many areas of study.
Fuzzy logic is closely attributed to Discrete mathematics in his work.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
