What is he best known for?
The fields of study José L. Verdegay is best known for:
- Fuzzy logic
- Mathematical optimization
- Artificial intelligence
His research on Artificial intelligence often connects related areas such as Ranking (information retrieval).
His study on Ranking (information retrieval) is mostly dedicated to connecting different topics, such as Artificial intelligence.
In his works, José L. Verdegay conducts interdisciplinary research on Linguistics and Natural language processing.
Natural language processing and Linguistics are two areas of study in which José L. Verdegay engages in interdisciplinary research.
His research on Group (periodic table) frequently connects to adjacent areas such as Organic chemistry.
His Organic chemistry study typically links adjacent topics like Group (periodic table).
His work blends Group decision-making and Social psychology studies together.
José L. Verdegay connects Social psychology with Group decision-making in his study.
José L. Verdegay undertakes multidisciplinary investigations into Fuzzy logic and Defuzzification in his work.
His most cited work include:
- None (1017 citations)
- A model of consensus in group decision making under linguistic assessments (1007 citations)
- Direct approach processes in group decision making using linguistic OWA operators (635 citations)
What are the main themes of his work throughout his whole career to date
His work focuses on many connections between Linear programming and other disciplines, such as Mathematical optimization, that overlap with his field of interest in Metaheuristic.
José L. Verdegay incorporates Metaheuristic and Mathematical optimization in his studies.
In his works, he performs multidisciplinary study on Artificial intelligence and Operations research.
He integrates many fields, such as Operations research and Artificial intelligence, in his works.
José L. Verdegay performs multidisciplinary study in Fuzzy logic and Fuzzy number in his work.
His multidisciplinary approach integrates Fuzzy number and Defuzzification in his work.
Fuzzy set and Fuzzy classification are two areas of study in which he engages in interdisciplinary work.
In his study, José L. Verdegay carries out multidisciplinary Fuzzy classification and Fuzzy set research.
He applies his multidisciplinary studies on Linguistics and Natural language processing in his research.
José L. Verdegay most often published in these fields:
- Artificial intelligence (90.57%)
- Fuzzy logic (71.70%)
- Mathematical optimization (56.60%)
What were the highlights of his more recent work (between 2013-2018)?
- Fuzzy logic (100.00%)
- Artificial intelligence (100.00%)
- Law (50.00%)
In recent works José L. Verdegay was focusing on the following fields of study:
In his works, José L. Verdegay undertakes multidisciplinary study on Artificial intelligence and Operations research.
José L. Verdegay performs multidisciplinary study on Operations research and Artificial intelligence in his works.
He frequently studies issues relating to Ideal (ethics) and Law.
His Law research extends to the thematically linked field of Ideal (ethics).
He combines topics linked to Embedded system with his work on Routing (electronic design automation).
He combines topics linked to Routing (electronic design automation) with his work on Embedded system.
He integrates Vehicle routing problem and Ant colony optimization algorithms in his research.
He performs multidisciplinary study in the fields of Ant colony optimization algorithms and Mathematical optimization via his papers.
He undertakes multidisciplinary studies into Mathematical optimization and Metaheuristic in his work.
Between 2013 and 2018, his most popular works were:
- An ACO hybrid metaheuristic for close–open vehicle routing problems with time windows and fuzzy constraints (54 citations)
- FRIM—Fuzzy Reference Ideal Method in Multicriteria Decision Making (6 citations)
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