| Application and analysis of methods for selecting an optimal solution from the Pareto-optimal front obtained by multiobjective optimization Z Wang, GP Rangaiah Industrial & Engineering Chemistry Research 56 (2), 560-574, 2017 | 281 | 2017 |
| Analysis of weighting and selection methods for pareto-optimal solutions of multiobjective optimization in chemical engineering applications Z Wang, SS Parhi, GP Rangaiah, AK Jana Industrial & Engineering Chemistry Research 59 (33), 14850-14867, 2020 | 65 | 2020 |
| Preference ranking on the basis of ideal-average distance method for multi-criteria decision-making Z Wang, GP Rangaiah, X Wang Industrial & Engineering Chemistry Research 60 (30), 11216-11230, 2021 | 35 | 2021 |
| Multi-objective building energy system optimization considering EV infrastructure M Park, Z Wang, L Li, X Wang Applied Energy 332, 120504, 2023 | 23 | 2023 |
| Machine learning aided multi-objective optimization and multi-criteria decision making: Framework and two applications in chemical engineering Z Wang, J Li, GP Rangaiah, Z Wu Computers & Chemical Engineering 165, 107945, 2022 | 23 | 2022 |
| Sensitivity analysis of multi-criteria decision-making methods for engineering applications SR Nabavi, Z Wang, GP Rangaiah Industrial & Engineering Chemistry Research 62 (17), 6707-6722, 2023 | 13 | 2023 |
| Selected multi-criteria decision-making methods and their applications to product and system design Z Wang, SR Nabavi, GP Rangaiah Optimization Methods for Product and System Design, 107-138, 2023 | 8 | 2023 |
| Comparison of fuzzy and crisp decision matrices: An evaluation on PROBID and sPROBID multi-criteria decision-making methods Z Wang, M Baydaş, Ž Stević, A Özçil, SA Irfan, Z Wu, GP Rangaiah Demonstratio Mathematica 56 (1), 20230117, 2023 | 6 | 2023 |
| Machine learning aided model predictive control with multi-objective optimization and multi-criteria decision making Z Wang, WGY Tan, GP Rangaiah, Z Wu Computers & Chemical Engineering 179, 108414, 2023 | 6 | 2023 |
| Deep learning aided multi-objective optimization and multi-criteria decision making in thermal cracking process for olefines production SR Nabavi, MJ Jafari, Z Wang Journal of the Taiwan Institute of Chemical Engineers 152, 105179, 2023 | 4 | 2023 |
| Numerical Machine Learning Z Wang, SA Irfan, C Teoh, PH Bhoyar Bentham Science Publishers, 2023 | 3 | 2023 |
| Interpreting the Determinants of Sensitivity in MCDM Methods with a New Perspective: An Application on E-Scooter Selection with the PROBID Method M Baydaş, M Kavacık, Z Wang Spectrum of Engineering and Management Sciences 2 (1), 17-35, 2024 | | 2024 |
| Sensitivity Assessment of Multi-Criteria Decision-Making Methods in Chemical Engineering Optimization Applications SR Nabavi, Z Wang, GP Rangaiah arXiv preprint arXiv:2403.11569, 2024 | | 2024 |
| Does the performance of MCDM rankings increase as sensitivity decreases? Graphics card selection and pattern discovery using the PROBID method M Baydas, M Kavacık, ZY Wang J. Intell Manag. Decis 3 (2), 91-103, 2024 | | 2024 |
| A Machine Learning Assisted Approach to Model Predictive Control with Multi-Objective Optimization and Multi-Criteria Decision Making Z Wang, WTG Yion, GP Rangaiah, Z Wu 2023 AIChE Annual Meeting, 2023 | | 2023 |
Gade Pandu RangaiahDepartment of Chemical and Biomolecular Engineering (ChBE), National University of Singapore (NUS)Verified email at nus.edu.sg
