Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives M Karatas, L Eriskin, M Deveci, D Pamucar, H Garg Expert Systems with Applications 200, 116912, 2022 | 158 | 2022 |
Developing a novel fuzzy neutrosophic numbers based decision making analysis for prioritizing the energy storage technologies D Pamucar, M Deveci, D Schitea, L Erişkin, M Iordache, I Iordache International journal of hydrogen energy 45 (43), 23027-23047, 2020 | 73 | 2020 |
A robust multi-objective model for healthcare resource management and location planning during pandemics L Eriskin, M Karatas, YJ Zheng Annals of Operations Research 335 (3), 1471-1518, 2024 | 23 | 2024 |
The minimal covering location and sizing problem in the presence of gradual cooperative coverage M Karatas, L Eriskin European Journal of Operational Research 295, 838-856, 2021 | 21 | 2021 |
A Survey on Recent Applications of Pythagorean Fuzzy Sets: A State-of-the-Art Between 2013 and 2020 M Deveci, L Eriskin, M Karatas Pythagorean Fuzzy Sets: Theory and Applications, 3-38, 2021 | 17 | 2021 |
Point coverage with heterogeneous sensor networks: A robust optimization approach under target location uncertainty L Erişkin Computer Networks 198, 108416, 2021 | 16 | 2021 |
Applying robust optimization to the shelter location–allocation problem: a case study for Istanbul L Eriskin, M Karatas Annals of Operations Research, 1-47, 2022 | 13 | 2022 |
Preference modelling in sorting problems: Multiple criteria decision aid and statistical learning perspectives L Erişkin Journal of Multi‐Criteria Decision Analysis 28 (5-6), 203-219, 2021 | 11 | 2021 |
Transportation and location planning during epidemics/pandemics: Emerging problems and solution approaches M Karatas, L Erişkin, E Bozkaya IEEE Transactions on Intelligent Transportation Systems 23 (12), 25139-25156, 2022 | 9 | 2022 |
Data analytics during pandemics: a transportation and location planning perspective E Bozkaya, L Eriskin, M Karatas Annals of Operations Research 328, 193-244, 2023 | 6 | 2023 |
Interactive and nonparametric modeling of preferences on an ordinal scale using small data L Erişkin, G Köksal Expert Systems with Applications 65, 345-360, 2016 | 5 | 2016 |
A method for robust design of products or processes with categorical response L Erişkin, LE Dolgun, G Köksal Quality Engineering 33 (3), 474-486, 2021 | 4 | 2021 |
Linear and piecewise linear formulations for a hierarchical facility location and sizing problem M Karatas, L Eriskin Omega 118, 102850, 2023 | 2 | 2023 |
Heterogeneous wireless sensor networks: Deployment strategies and coverage models E Bozkaya, M Karatas, L Eriskin Comprehensive Guide to Heterogenous Networks, 1-32, 2023 | 2 | 2023 |
An Approach for Determining the Cost Matrix of Multivariate Quality Loss Function LE Dolgun, L Erişkin, G Özkan, G Köksal International Journal of Industrial Engineering: Theory, Applications, and …, 2020 | 2 | 2020 |
Test and evaluation for weapon systems: concepts and processes L Eriskin, MM Gunal Operations Research for Military Organizations, 98-110, 2019 | 2 | 2019 |
A semi-desirable location and sizing model for hydrogen fuel storage areas: A case study for Istanbul L Eriskin, M Karatas International Journal of Hydrogen Energy 48 (34), 12796-12813, 2023 | | 2023 |
Design of Preventive Healthcare Services: A Brief Review M Karatas, L Eriskin First Australian Conference on Industrial Engineering and Operations …, 2022 | | 2022 |
Emergency Medical Service Station Location-Allocation and Sizing Problem for Istanbul L Eriskin, M Karatas First Australian Conference on Industrial Engineering and Operations …, 2022 | | 2022 |
Multivariate quality loss function cost parameter estimation G Köksal, L Erişkin, L Dolgun The 22nd Conference of the International Federation of Operational Research …, 2021 | | 2021 |