H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 101 Citations 57,201 443 World Ranking 136 National Ranking 2
Mathematics D-index 99 Citations 60,248 408 World Ranking 17 National Ranking 2

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Programming language

The scientist’s investigation covers issues in Fuzzy set, Fuzzy number, Fuzzy set operations, Artificial intelligence and Type-2 fuzzy sets and systems. His study with Fuzzy set involves better knowledge in Fuzzy logic. His Fuzzy number research incorporates elements of Discrete mathematics and Upper and lower probabilities.

His Fuzzy set operations study combines topics from a wide range of disciplines, such as Defuzzification, Neuro-fuzzy and Fuzzy classification. His research in Artificial intelligence intersects with topics in Epistemology and Machine learning. The various areas that Didier Dubois examines in his Type-2 fuzzy sets and systems study include Fuzzy measure theory and Deductive reasoning.

His most cited work include:

  • Fuzzy Sets and Systems: Theory and Applications (5226 citations)
  • Possibility Theory: An Approach to Computerized Processing of Uncertainty (2060 citations)
  • Operations on fuzzy numbers (2048 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Artificial intelligence, Possibility theory, Fuzzy set, Fuzzy logic and Theoretical computer science. His Artificial intelligence study frequently intersects with other fields, such as Machine learning. Didier Dubois usually deals with Possibility theory and limits it to topics linked to Mathematical economics and Axiom and Decision theory.

His Fuzzy set research includes elements of Discrete mathematics and Data mining. His Fuzzy logic research is multidisciplinary, relying on both Algorithm and Mathematical optimization. His study connects Fuzzy classification and Fuzzy number.

He most often published in these fields:

  • Artificial intelligence (38.79%)
  • Possibility theory (34.05%)
  • Fuzzy set (25.62%)

What were the highlights of his more recent work (between 2011-2021)?

  • Possibility theory (34.05%)
  • Artificial intelligence (38.79%)
  • Theoretical computer science (15.07%)

In recent papers he was focusing on the following fields of study:

Didier Dubois mainly investigates Possibility theory, Artificial intelligence, Theoretical computer science, Fuzzy set and Fuzzy logic. His work deals with themes such as Basis and Machine learning, which intersect with Artificial intelligence. His study focuses on the intersection of Fuzzy set and fields such as Set with connections in the field of Imprecise probability.

His study in Fuzzy logic focuses on Fuzzy number in particular. Many of his studies on Fuzzy number apply to Fuzzy set operations as well. His biological study spans a wide range of topics, including Fuzzy mathematics and Fuzzy classification.

Between 2011 and 2021, his most popular works were:

  • Gradualness, uncertainty and bipolarity: Making sense of fuzzy sets (222 citations)
  • Fuzzy Sets in Approximate Reasoning and Information Systems (124 citations)
  • Statistical reasoning with set-valued information: Ontic vs. epistemic views (107 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Programming language

His primary areas of study are Artificial intelligence, Possibility theory, Theoretical computer science, Algebra and Fuzzy logic. His study in Artificial intelligence concentrates on Fuzzy set and Dempster–Shafer theory. Fuzzy classification and Intuitionistic fuzzy are the subjects of his Fuzzy set studies.

He focuses mostly in the field of Fuzzy classification, narrowing it down to matters related to Membership function and, in some cases, Natural language processing. His Possibility theory research integrates issues from Belief revision, Pure mathematics, Formal concept analysis, Tetrahedron and Decision problem. His primary area of study in Fuzzy logic is in the field of Type-2 fuzzy sets and systems.

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

Fuzzy Sets and Systems: Theory and Applications

Didier DuBois;Henri Prade.
(2011)

10841 Citations

Possibility Theory: An Approach to Computerized Processing of Uncertainty

Didier Dubois;Henri M. Prade.
(1988)

5877 Citations

Operations on fuzzy numbers

Didier Dubois;Henri Prade.
International Journal of Systems Science (1978)

3220 Citations

ROUGH FUZZY SETS AND FUZZY ROUGH SETS

Didier Dubois;Henri Prade.
International Journal of General Systems (1990)

2682 Citations

Ranking fuzzy numbers in the setting of possibility theory

Didier Dubois;Henri Prade.
Information Sciences (1983)

1223 Citations

A review of fuzzy set aggregation connectives

Didier Dubois;Henri Prade.
Information Sciences (1985)

1199 Citations

Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions

Didier Dubois;Henri Prade.
Fuzzy Sets and Systems (1999)

1148 Citations

Fundamentals of fuzzy sets

Didier Dubois;Henri M. Prade;Lotfi Asker Zadeh.
(2000)

948 Citations

The mean value of a fuzzy number

Didier Dubois;Henri Prade.
Fuzzy Sets and Systems (1987)

903 Citations

A linear-system-theoretic view of discrete-event processes and its use for performance evaluation in manufacturing

G. Cohen;D. Dubois;J. Quadrat;M. Viot.
IEEE Transactions on Automatic Control (1985)

724 Citations

Editorial Boards

Fuzzy Sets and Systems
(Impact Factor: 4.462)

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