What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Machine learning
Vicenç Torra mainly focuses on Data mining, Fuzzy logic, Fuzzy set, Artificial intelligence and Fuzzy set operations.
His Data mining research incorporates elements of Information loss, Microdata, Categorical variable and Cluster analysis.
His research integrates issues of Element and Mathematical optimization in his study of Fuzzy logic.
His work carried out in the field of Fuzzy set brings together such families of science as Range and Extension.
His study on Fuzzy set operations also encompasses disciplines like
- Fuzzy classification that connect with fields like Fuzzy number and Neuro-fuzzy,
- Defuzzification that connect with fields like Membership function.
His Membership function study deals with Fuzzy mathematics intersecting with Theoretical computer science.
His most cited work include:
- Hesitant fuzzy sets (1499 citations)
- On hesitant fuzzy sets and decision (693 citations)
- The weighted OWA operator (525 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Data mining, Fuzzy logic, Artificial intelligence, Information privacy and Fuzzy set.
The various areas that Vicenç Torra examines in his Data mining study include Categorical variable, Statistical disclosure control and Cluster analysis, Fuzzy clustering.
His studies deal with areas such as Machine learning, Set and Pattern recognition as well as Artificial intelligence.
His study focuses on the intersection of Information privacy and fields such as Information loss with connections in the field of Masking.
His work is connected to Fuzzy set operations, Fuzzy number, Fuzzy classification and Defuzzification, as a part of Fuzzy set.
His study in Defuzzification is interdisciplinary in nature, drawing from both Fuzzy mathematics and Membership function.
He most often published in these fields:
- Data mining (33.01%)
- Fuzzy logic (23.72%)
- Artificial intelligence (20.78%)
What were the highlights of his more recent work (between 2016-2021)?
- Data mining (33.01%)
- Artificial intelligence (20.78%)
- Fuzzy logic (23.72%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Data mining, Artificial intelligence, Fuzzy logic, Theoretical computer science and Information privacy.
His Data mining research also works with subjects such as
- Fuzzy clustering that intertwine with fields like Fuzzy set,
- k-anonymity which connect with Probabilistic logic.
His work in Artificial intelligence covers topics such as Machine learning which are related to areas like Integrally closed.
His research in Fuzzy logic intersects with topics in Selection and Degree.
His Theoretical computer science study incorporates themes from NoSQL, Overfitting, Representation, Markov chain and Space.
His Information privacy research includes elements of Data Protection Act 1998 and Big data.
Between 2016 and 2021, his most popular works were:
- A survey of graph-modification techniques for privacy-preserving on networks (36 citations)
- k-Degree anonymity and edge selection: improving data utility in large networks (34 citations)
- On Hesitant Fuzzy Clustering and Clustering of Hesitant Fuzzy Data (20 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
His primary areas of study are Fuzzy logic, Mathematical optimization, Artificial intelligence, Data mining and Compensation.
A large part of his Fuzzy logic studies is devoted to Sugeno integral.
His study in the field of Probabilistic logic also crosses realms of Compromise.
His Data mining study combines topics in areas such as Anonymity and Cluster analysis, Fuzzy clustering.
His Cluster analysis research integrates issues from Centrality, Rough set, Information loss and Pattern recognition.
Vicenç Torra has included themes like Effective method, Fuzzy classification, Fuzzy set operations, Selection and Data set in his Fuzzy clustering study.
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