Goal programming models with interval coefficients for the sustainable selection of marine renewable energy projects in the UK N Akbari, D Jones, F Arabikhan European Journal of Operational Research 293 (2), 748-760, 2021 | 36 | 2021 |
Fuzzy network based framework for software maintainability prediction X Wang, A Gegov, A Farzad, Y Chen, Q Hu International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2019 | 20 | 2019 |
Rule base simplification in fuzzy systems by aggregation of inconsistent rules A Gegov, F Arabikhan, D Sanders Journal of Intelligent & Fuzzy Systems 28 (3), 1331-1343, 2015 | 20 | 2015 |
Linguistic composition based modelling by fuzzy networks with modular rule bases A Gegov, F Arabikhan, N Petrov Fuzzy sets and systems 269, 1-29, 2015 | 19 | 2015 |
Gender-based analysis of zones of tolerance for transit service quality considering intelligent transportation systems F Arabikhan, MN Postorino, A Dupont-Kieffer, A Gegov Transportation Research Record 2541 (1), 73-80, 2016 | 16 | 2016 |
Fuzzy networks with feedback rule bases for complex systems modelling A Gegov, F Arabikhan, D Sanders, B Vatchova, T Vasileva International Journal of Knowledge-Based and Intelligent Engineering Systems …, 2017 | 15 | 2017 |
Conceptual artificial intelligence framework to improving English as second language AF Almutairi, A Gegov, M Adda, F Arabikhan WSEAS Transactions on Advances in Engineering Education 17, 87-91, 2020 | 10 | 2020 |
Telecommuting choice modelling using fuzzy rule based networks F Arabikhan University of Portsmouth, 2017 | 5 | 2017 |
The illusion of routine as an indicator for job automation with artificial intelligence J Bissessur, F Arabikhan, P Bednar Exploring Digital Ecosystems: Organizational and Human Challenges, 407-416, 2020 | 3 | 2020 |
Examining employees' preference toward telecommuting with an emphasis on women employees F Arabikhan, M Kermanshah, MN Postorino, A Gegov 5th International Conference on Women's Issues in TransportationFederation …, 2014 | 3 | 2014 |
Artificial intelligence-based medical image classification using a multilayer fuzzy approach KK Akula, A Gegov, F Arabikhan Wseas Transactions on Computers 22, 206-217, 2023 | 1 | 2023 |
Pipeline Leak Detection and Estimation Using Fuzzy PID Observer R Jafari, S Razvarz, C Vargas-Jarillo, A Gegov, F Arabikhan Electronics 11 (1), 152, 2022 | 1 | 2022 |
Pipeline Leak Detection and Location based on Fuzzy Controller S Razvarz, R Jafari, C Vargas-Jarillo, A Gegov, F Arabikhan 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1944-1949, 2020 | 1 | 2020 |
Medical Image Classification using a Many to Many Relation, Multilayered fuzzy system and AI KK AKula, M Marcucci, R Jouffroy, F Arabikhan, R Jafari, M Akula, ... WSEAS Transactions on Computers, 2024 | | 2024 |
Robust Aggregation Function in Federated F Arabikhan, A Gegov, N Akbari Advances in Information Systems, Artificial Intelligence and Knowledge …, 2024 | | 2024 |
Application of Fuzzy Decision Support Systems in IT Industry Functioning D Oleksii, S Zoia, A Gegov, F Arabikhan International Conference on Information and Knowledge Systems, 283-295, 2023 | | 2023 |
Robust Aggregation Function in Federated Learning R Taheri, F Arabikhan, A Gegov, N Akbari International Conference on Information and Knowledge Systems, 168-175, 2023 | | 2023 |
Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process F Arabikhan, A Gegov, R Taheri, N Akbari, M Bader-EI-Den International Conference on Information and Knowledge Systems, 296-306, 2023 | | 2023 |
Forecasting IT Industry trends using a Fuzzy Decision Support System D Oleksii, S Zoia, A Gegov, F Arabikhan 2023 IEEE Conference on Artificial Intelligence (CAI), 181-182, 2023 | | 2023 |
Artificial Intelligence Based Diagnosis of Heart Disease Using ECG and Deep Neural Networks G Gogi, S Gurung, A Gegov, U Kaymak, F Arabikhan 2023 IEEE Conference on Artificial Intelligence (CAI), 143-144, 2023 | | 2023 |