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Mahmut Baydaş
PeerJ Author & Reviewer
240 Points

Contributions by role

Author 135
Reviewer 105

Contributions by subject area

Data Science
Optimization Theory and Computation
Theory and Formal Methods
Human-Computer Interaction
Artificial Intelligence
Autonomous Systems
Data Mining and Machine Learning
Adaptive and Self-Organizing Systems
Embedded Computing
Scientific Computing and Simulation
Neural Networks
Natural Language and Speech
Algorithms and Analysis of Algorithms

Mahmut Baydaş

PeerJ Author & Reviewer

Summary

Ph.D. AI, ML, Data analytics, MCDM methods, Fuzzy sets, Neutrosophic, Finance

Artificial Intelligence Data Mining & Machine Learning Data Science

Work details

PhD and Lecturer

Necmettin Erbakan University
Faculty of Applied Sciences
PhD and Lecturer in Decision Methods.

PeerJ Contributions

  • Articles 1
April 25, 2023
Proposal for an objective binary benchmarking framework that validates each other for comparing MCDM methods through data analytics
Mahmut Baydaş, Tevfik Eren, Željko Stević, Vitomir Starčević, Raif Parlakkaya
https://doi.org/10.7717/peerj-cs.1350