What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Database
Maria-Amparo Vila mostly deals with Fuzzy logic, Fuzzy number, Fuzzy set operations, Data mining and Fuzzy classification.
His research on Fuzzy logic focuses in particular on Fuzzy set.
The Type-2 fuzzy sets and systems research Maria-Amparo Vila does as part of his general Fuzzy number study is frequently linked to other disciplines of science, such as Measure, therefore creating a link between diverse domains of science.
The various areas that Maria-Amparo Vila examines in his Data mining study include Genetic algorithm and Data structure.
His Fuzzy classification study incorporates themes from Defuzzification and Theoretical computer science.
The Defuzzification study combines topics in areas such as Fuzzy mathematics and Fuzzy measure theory.
His most cited work include:
- On aggregation operations of linguistic labels (427 citations)
- Linguistic decision-making models (319 citations)
- On a canonical representation of fuzzy numbers (280 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Fuzzy logic, Data mining, Fuzzy classification, Artificial intelligence and Fuzzy set.
Maria-Amparo Vila specializes in Fuzzy logic, namely Neuro-fuzzy.
Maria-Amparo Vila has researched Data mining in several fields, including Cluster analysis and Fuzzy clustering.
His Fuzzy classification research incorporates elements of Text mining, Fuzzy set operations and Membership function.
The study incorporates disciplines such as Fuzzy number and Defuzzification in addition to Fuzzy set operations.
His Fuzzy set research focuses on Mathematical optimization and how it relates to Fuzzy transportation.
He most often published in these fields:
- Fuzzy logic (52.35%)
- Data mining (36.24%)
- Fuzzy classification (29.53%)
What were the highlights of his more recent work (between 2009-2021)?
- Fuzzy logic (52.35%)
- Information retrieval (17.45%)
- Data mining (36.24%)
In recent papers he was focusing on the following fields of study:
Maria-Amparo Vila mainly focuses on Fuzzy logic, Information retrieval, Data mining, Artificial intelligence and Process.
His study in Fuzzy set, Fuzzy number, Fuzzy set operations and Soft computing falls within the category of Fuzzy logic.
He combines subjects such as Algorithm and Theoretical computer science with his study of Fuzzy number.
His work deals with themes such as Value and Computational intelligence, which intersect with Data mining.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, SQL and Natural language processing.
A large part of his Fuzzy classification studies is devoted to Type-2 fuzzy sets and systems.
Between 2009 and 2021, his most popular works were:
- On a non-nested level-based representation of fuzziness (47 citations)
- Context-Aware Fuzzy Databases (16 citations)
- An automatic system for identifying authorities in digital libraries (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Database
Maria-Amparo Vila spends much of his time researching Fuzzy logic, Artificial intelligence, Digital library, Process and Hierarchical clustering.
His Fuzzy logic study frequently involves adjacent topics like Data mining.
His work carried out in the field of Data mining brings together such families of science as Fuzzy association rules and Fuzzy clustering.
Fuzzy classification and Fuzzy set are among the areas of Artificial intelligence where the researcher is concentrating his efforts.
The various areas that Maria-Amparo Vila examines in his Fuzzy classification study include Fuzzy number, Defuzzification and Fuzzy set operations.
His Fuzzy set research is multidisciplinary, relying on both Software, Theoretical computer science and SQL.
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