Linguistic composition based modelling by fuzzy networks with modular rule bases. - Alexander E. Gegov; Farzad Arabikhan; Nedyalko Petrov (Fuzzy Sets Syst., 2015)

Rule base simplification in fuzzy systems by aggregation of inconsistent rules. - Alexander E. Gegov; Farzad Arabikhan; David A. Sanders (J. Intell. Fuzzy Syst., 2015)

Fuzzy networks with feedback rule bases for complex systems modelling. - Alexander E. Gegov; Farzad Arabikhan; David A. Sanders; Boriana Vatchova; Maria T. Vasileva (Int. J. Knowl. Based Intell. Eng. Syst., 2017)

Telecommuting choice modelling using fuzzy rule based networks. - Farzad Arabikhan (2017)

Fuzzy Network Based Framework for Software Maintainability Prediction. - Xiaowei Wang; Alexander E. Gegov; Farzad Arabikhan; Yuntao Chen; Qiwei Hu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)

Pipeline Leak Detection and Location based on Fuzzy Controller. - Sina Razvarz; Raheleh Jafari; Cristóbal Vargas-Jarillo; Alexander E. Gegov; Farzad Arabikhan (SSCI, 2020)

Goal programming models with interval coefficients for the sustainable selection of marine renewable energy projects in the UK. - Negar Akbari; Dylan F. Jones; Farzad Arabikhan (Eur. J. Oper. Res., 2021)

Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process. - Farzad Arabikhan; Alexander E. Gegov; Rahim Taheri; Negar Akbari; Mohamed Bader-El-Den (ICIKS, 2023)

Application of Fuzzy Decision Support Systems in IT Industry Functioning. - Dudnyk Oleksii; Sokolovska Zoia; Alexander E. Gegov; Farzad Arabikhan (ICIKS, 2023)

Robust Aggregation Function in Federated Learning. - Rahim Taheri; Farzad Arabikhan; Alexander E. Gegov; Negar Akbari (ICIKS, 2023)

Agile Project Status Prediction Using Interpretable Machine Learning. - AliAkbar ForouzeshNejad; Farzad Arabikhan; Nigel Williams; Alexander E. Gegov; Omer Faruk Sari; Mohamed Bader (IS, 2024)

Machine Learning for Bacterial Growth Prediction and Examination of Bacterial Impact on Growth. - Volkan Ince; Mohamed Bader-El-Den; Farzad Arabikhan; Omer Faruk Sari (IS, 2024)

Machine Learning Approach into Bacterial Relationship: Exploring 16S rRNA Metabarcoding with Association Rule Mining. - Omer Faruk Sari; Mohamed Bader-El-Den; Volkan Ince; Farzad Arabikhan (IS, 2024)

Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks. - Rahim Taheri; Mohammad Shojafar; Farzad Arabikhan; Alexander E. Gegov (Comput. Secur., 2024)