D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 37 Citations 7,004 150 World Ranking 2952 National Ranking 44

Overview

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.

Best Publications

Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey

Cengiz Kahraman;Ufuk Cebeci;Da Ruan.
International Journal of Production Economics (2004)

1006 Citations

Fuzzy group decision-making for facility location selection

Cengiz Kahraman;Da Ruan;Ibrahim Doǧan.
Information Sciences (2003)

694 Citations

Fuzzy group decision making for selection among computer integrated manufacturing systems

Cafer Erhan Bozdağ;Cengiz Kahraman;Da Ruan.
Computers in Industry (2003)

404 Citations

Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques

Jie Lu;Guangquan Zhang;Da Ruan.
(2007)

361 Citations

A FUZZY MULTI-CRITERIA DECISION APPROACH FOR SOFTWARE DEVELOPMENT STRATEGY SELECTION

Gülçin Büyüközkan;Cengiz Kahraman;Da Ruan.
International Journal of General Systems (2004)

325 Citations

Computing with Words in Decision support Systems: An overview on Models and Applications

Luis Martínez;Da Ruan;Francisco Herrera.
International Journal of Computational Intelligence Systems (2010)

324 Citations

Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows

Cengiz Kahraman;Da Ruan;Ethem Tolga.
intelligent information systems (2002)

312 Citations

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)

307 Citations

A fuzzy preference-ranking model for a quality evaluation of hospital Web sites

R. Ufuk Bilsel;Gülçin Büyüközkan;Da Ruan.
International Journal of Intelligent Systems (2006)

251 Citations

Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach

Gülçin Büyüközkan;Tijen Ertay;Cengiz Kahraman;Da Ruan.
Journal of intelligent systems (2004)

232 Citations

Best Scientists Citing Da Ruan

Cengiz Kahraman

Cengiz Kahraman

Istanbul Technical University

Publications: 88

Luis Martínez

Luis Martínez

University of Jaén

Publications: 81

Tianrui Li

Tianrui Li

Southwest Jiaotong University

Publications: 77

Jie Lu

Jie Lu

University of Technology Sydney

Publications: 57

Francisco Herrera

Francisco Herrera

University of Granada

Publications: 49

Guangquan Zhang

Guangquan Zhang

University of Technology Sydney

Publications: 47

Enrique Herrera-Viedma

Enrique Herrera-Viedma

University of Granada

Publications: 45

Dun Liu

Dun Liu

Southwest Jiaotong University

Publications: 42

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 37

Gülçin Büyüközkan

Gülçin Büyüközkan

Galatasaray University

Publications: 35

Zeshui Xu

Zeshui Xu

Sichuan University

Publications: 31

Ali Azadeh

Ali Azadeh

University of Tehran

Publications: 29

İhsan Kaya

İhsan Kaya

Yıldız Technical University

Publications: 27

Yucheng Dong

Yucheng Dong

Sichuan University

Publications: 25

Kwai-Sang Chin

Kwai-Sang Chin

City University of Hong Kong

Publications: 24

Francisco Chiclana

Francisco Chiclana

De Montfort University

Publications: 21

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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