What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Law
His primary areas of study are Data envelopment analysis, Operations research, Fuzzy logic, Mathematical optimization and Fuzzy set.
His Data envelopment analysis research includes themes of Supply chain, Data mining, Project portfolio management and Software package.
His Operations research research is multidisciplinary, incorporating perspectives in Redundancy, Penalty method, Group decision-making and Management science.
His Fuzzy logic study integrates concerns from other disciplines, such as Ranking, Multiple-criteria decision analysis and Ambiguity.
His biological study spans a wide range of topics, including Sorting and Monte Carlo method.
In his research on the topic of Fuzzy set, Identification and Feasible region is strongly related with Linear programming.
His most cited work include:
- An integrated green supplier selection approach with analytic network process and improved Grey relational analysis (267 citations)
- An integrated green supplier selection approach with analytic network process and improved Grey relational analysis (267 citations)
- A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making (257 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical optimization, Data envelopment analysis, Fuzzy logic, Operations research and Process.
His study in Redundancy extends to Mathematical optimization with its themes.
Madjid Tavana interconnects Ranking, Production, Data mining and Performance measurement in the investigation of issues within Data envelopment analysis.
His studies deal with areas such as Selection and Ambiguity as well as Fuzzy logic.
In his works, Madjid Tavana performs multidisciplinary study on Selection and Sustainability.
His Operations research study combines topics in areas such as Supply chain, Decision support system and Decision analysis.
He most often published in these fields:
- Mathematical optimization (52.60%)
- Data envelopment analysis (45.91%)
- Fuzzy logic (35.32%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (52.60%)
- Data envelopment analysis (45.91%)
- Supply chain (15.80%)
In recent papers he was focusing on the following fields of study:
Madjid Tavana mostly deals with Mathematical optimization, Data envelopment analysis, Supply chain, Fuzzy logic and Operations research.
In his works, Madjid Tavana conducts interdisciplinary research on Mathematical optimization and Efficiency.
His Data envelopment analysis research incorporates elements of Ranking, Ordinal data, Productivity and Measure.
Fuzzy set is the focus of his Fuzzy logic research.
His research investigates the connection between Fuzzy set and topics such as Flexibility that intersect with issues in Risk analysis.
Within one scientific family, Madjid Tavana focuses on topics pertaining to Selection under Operations research, and may sometimes address concerns connected to Portfolio.
Between 2017 and 2021, his most popular works were:
- An Artificial Neural Network and Bayesian Network model for liquidity risk assessment in banking (37 citations)
- An Artificial Neural Network and Bayesian Network model for liquidity risk assessment in banking (37 citations)
- An extended stochastic VIKOR model with decision maker's attitude towards risk (27 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Law
Mathematical optimization, Data envelopment analysis, Fuzzy logic, Data mining and Ranking are his primary areas of study.
His research in Mathematical optimization intersects with topics in Budget constraint and Information technology.
His Data envelopment analysis study combines topics from a wide range of disciplines, such as Performance measurement, Measure and Operations research.
His work on Fuzzy set as part of general Fuzzy logic study is frequently connected to Operator, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
The various areas that Madjid Tavana examines in his Data mining study include Taguchi methods, Fuzzy rule, Hybrid algorithm, Soft computing and Neuro-fuzzy.
His Ranking research is multidisciplinary, relying on both Ordinal regression, Ordinal optimization and Ordinal data.
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