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.
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.
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.
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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An integrated green supplier selection approach with analytic network process and improved Grey relational analysis
Seyed Hamid Hashemi;Amir Karimi;Madjid Tavana;Madjid Tavana.
Autonomous vehicles: challenges, opportunities, and future implications for transportation policies
Saeed Asadi Bagloee;Madjid Tavana;Madjid Tavana;Mohsen Asadi;Tracey Oliver.
A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making
Adel Hatami-Marbini;Ali Emrouznejad;Madjid Tavana.
An extension of the Electre I method for group decision-making under a fuzzy environment
Adel Hatami-Marbini;Madjid Tavana.
An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics
Madjid Tavana;Mohsen Zareinejad;Debora Di Caprio;Mohamad Amin Kaviani.
A new multi-objective particle swarm optimization method for solving reliability redundancy allocation problems
Kaveh Khalili-Damghani;Amir-Reza Abtahi;Madjid Tavana.
A methodology for selecting portfolios of projects with interactions and under uncertainty
Amir Hossein Ghapanchi;Madjid Tavana;Mohammad Hossein Khakbaz;Graham Low.
A group AHP-TOPSIS framework for human spaceflight mission planning at NASA
Madjid Tavana;Adel Hatami-Marbini.
Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS
Madjid Tavana;Zhaojun Li;Mohammadsadegh Mobin;Mohammad Komaki.
A new multi-objective multi-mode model for solving preemptive time-cost-quality trade-off project scheduling problems
Madjid Tavana;Amir-Reza Abtahi;Kaveh Khalili-Damghani.
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