His primary scientific interests are in Fuzzy set, Artificial intelligence, Fuzzy set operations, Fuzzy number and Fuzzy classification. Fuzzy set is the subject of his research, which falls under Fuzzy logic. His Artificial intelligence research focuses on subjects like Machine learning, which are linked to Natural language processing and Pooling.
His Fuzzy set operations research is multidisciplinary, relying on both Defuzzification, Neuro-fuzzy and Mathematical optimization. His Defuzzification study incorporates themes from Theoretical computer science and Fuzzy rule. His research integrates issues of Discrete mathematics and Membership function in his study of Fuzzy number.
Henri Prade spends much of his time researching Artificial intelligence, Possibility theory, Fuzzy set, Fuzzy logic and Theoretical computer science. His Artificial intelligence study frequently involves adjacent topics like Machine learning. His Possibility theory research incorporates themes from Belief revision, Mathematical economics, Knowledge base, Formal concept analysis and Probabilistic logic.
The Fuzzy set study combines topics in areas such as Discrete mathematics, Data mining and Algebra. His Theoretical computer science research is multidisciplinary, incorporating perspectives in Algorithm and Set. His work focuses on many connections between Fuzzy set operations and other disciplines, such as Defuzzification, that overlap with his field of interest in Fuzzy classification.
Henri Prade mainly focuses on Artificial intelligence, Possibility theory, Theoretical computer science, Analogy and Fuzzy set. His studies deal with areas such as Basis, Machine learning and Natural language processing as well as Artificial intelligence. His study in Possibility theory is interdisciplinary in nature, drawing from both Formal concept analysis, Algebra and Epistemology, Belief revision.
Henri Prade has researched Theoretical computer science in several fields, including Independence, Representation, Set, Extension and Algorithm. His biological study spans a wide range of topics, including Similarity, Cognitive science and Of the form. His Fuzzy set research entails a greater understanding of Fuzzy logic.
His primary scientific interests are in Artificial intelligence, Possibility theory, Theoretical computer science, Analogy and Set. His study in Fuzzy set and Bayesian network falls under the purview of Artificial intelligence. His Fuzzy set research includes themes of Non-monotonic logic, Classical logic, Commonsense reasoning and Dempster–Shafer theory.
His Possibility theory study is focused on Fuzzy logic in general. His work carried out in the field of Theoretical computer science brings together such families of science as Qualitative reasoning, Class, Graphical model, Uncertain data and Preference. The study incorporates disciplines such as Characterization, Choquet integral, Fuzzy classification and Membership function in addition to Natural language processing.
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.
Fuzzy Sets and Systems: Theory and Applications
Didier DuBois;Henri Prade.
(2011)
Possibility Theory: An Approach to Computerized Processing of Uncertainty
Didier Dubois;Henri M. Prade.
(1988)
Operations on fuzzy numbers
Didier Dubois;Henri Prade.
International Journal of Systems Science (1978)
ROUGH FUZZY SETS AND FUZZY ROUGH SETS
Didier Dubois;Henri Prade.
International Journal of General Systems (1990)
Ranking fuzzy numbers in the setting of possibility theory
Didier Dubois;Henri Prade.
Information Sciences (1983)
A review of fuzzy set aggregation connectives
Didier Dubois;Henri Prade.
Information Sciences (1985)
Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Didier Dubois;Henri Prade.
Fuzzy Sets and Systems (1999)
Fundamentals of fuzzy sets
Didier Dubois;Henri M. Prade;Lotfi Asker Zadeh.
(2000)
The mean value of a fuzzy number
Didier Dubois;Henri Prade.
Fuzzy Sets and Systems (1987)
Representation and combination of uncertainty with belief functions and possibility measures
Didler Dubois;Henri Prade.
computational intelligence (1988)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
Centre national de la recherche scientifique, CNRS
Artois University
Centre national de la recherche scientifique, CNRS
Spanish National Research Council
Paris Dauphine University
Université Libre de Bruxelles
Ludwig-Maximilians-Universität München
Université Paris Cité
Spanish National Research Council
Spanish National Research Council
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: