What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Algorithm
His primary areas of study are ELECTRE, Multiple-criteria decision analysis, Operations research, Mathematical optimization and Decision support system.
His ELECTRE research integrates issues from Sorting and Constraint.
His studies deal with areas such as Evidential reasoning approach and Management science as well as Multiple-criteria decision analysis.
José Rui Figueira interconnects Preference, Decision rule and Decision analysis in the investigation of issues within Management science.
His research on Operations research frequently connects to adjacent areas such as Choquet integral.
José Rui Figueira combines subjects such as Algorithm and Robustness with his study of Mathematical optimization.
His most cited work include:
- Multiple criteria decision analysis: state of the art surveys (2881 citations)
- Determining the weights of criteria in the ELECTRE type methods with a revised Simos' procedure (404 citations)
- Determining the weights of criteria in the ELECTRE type methods with a revised Simos' procedure (404 citations)
What are the main themes of his work throughout his whole career to date?
Mathematical optimization, ELECTRE, Operations research, Knapsack problem and Algorithm are his primary areas of study.
His ELECTRE research is under the purview of Multiple-criteria decision analysis.
As a member of one scientific family, José Rui Figueira mostly works in the field of Multiple-criteria decision analysis, focusing on Management science and, on occasion, Decision analysis.
His studies in Operations research integrate themes in fields like Choquet integral, Decision support system and Process.
He has researched Knapsack problem in several fields, including Divide and conquer algorithms, Branch and bound, Dynamic programming and Cutting stock problem.
His Multi-objective optimization research is multidisciplinary, relying on both Evolutionary algorithm, Pareto principle and Benchmark.
He most often published in these fields:
- Mathematical optimization (47.34%)
- ELECTRE (28.50%)
- Operations research (21.26%)
What were the highlights of his more recent work (between 2018-2021)?
- ELECTRE (28.50%)
- Operations research (21.26%)
- Ranking (6.28%)
In recent papers he was focusing on the following fields of study:
José Rui Figueira spends much of his time researching ELECTRE, Operations research, Ranking, Mathematical optimization and Data envelopment analysis.
While the research belongs to areas of ELECTRE, José Rui Figueira spends his time largely on the problem of Environmental economics, intersecting his research to questions surrounding Sustainable supply chain and Network planning and design.
His study in the fields of Multiple-criteria decision analysis under the domain of Operations research overlaps with other disciplines such as Portuguese and Context.
His research integrates issues of Decision support system and Decision aiding in his study of Multiple-criteria decision analysis.
His Ranking study also includes fields such as
- Data mining, which have a strong connection to Stability, Decision analysis and Robustness,
- Pairwise comparison, which have a strong connection to Strength of preference and Evolutionary algorithm.
His work in Mathematical optimization is not limited to one particular discipline; it also encompasses Resolution.
Between 2018 and 2021, his most popular works were:
- An interval extension of the outranking approach and its application to multiple-criteria ordinal classification (17 citations)
- An application of the ELECTRE TRI-C method to characterize government performance in OECD countries (13 citations)
- A multiple criteria approach defining cultural adaptive reuse of abandoned buildings (9 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Artificial intelligence
José Rui Figueira mainly focuses on ELECTRE, Operations research, Categorization, Decision problem and Mathematical optimization.
His ELECTRE investigation overlaps with other areas such as Extension, Imperfect, Sustainable city, Energy consumption and Summit.
He integrates Operations research and Software in his research.
His Categorization research incorporates elements of Machine learning, Probabilistic logic and Stochastic multicriteria acceptability analysis.
His work in Mathematical optimization addresses subjects such as Quality, which are connected to disciplines such as Inference.
The concepts of his Decision model study are interwoven with issues in Multiple-criteria decision analysis and Process.
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.
