Professor Trevor Martin

Latest publications

• Martin, T & Anggraini, R, 2019, ‘A Graded Approach to Requirement Satisfaction for Evolving Systems’. in: 2019 IEEE International Conference on Fuzzy Systems. IEEE Computer Society
• Martin, T & Azvine, B, 2019, ‘Graded Concepts for Collaborative Intelligence’. in: Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers (IEEE), pp. 2589-2594
• Anggraini, RN & Martin, TP, 2019, ‘Capturing Requirement Correlation in Adaptive Systems’. in: 2018 International Conference on Robotics, Biomimetics, and Intelligent Computational Systems, (Robionetics 2018). Institute of Electrical and Electronics Engineers (IEEE), pp. 6-11
• Kowalski, P & Martin, T, 2018, ‘Provenance Across Evidence Combination in Theory of Belief Functions’., pp. 635-642
• Kowalski, P & Martin, T, 2018, ‘Assessment of the contribution of a source of information to the final belief in a proposition’. in: 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2017): Proceedings of a meeting held 29-31 July 2017, Guilin, China. Institute of Electrical and Electronics Engineers (IEEE), pp. 1402-1409
• Hirshy, H, Singh, M, Casbon, MA, Perks, RM, Uren, MJ, Martin, T, Kuball, M & Tasker, PJ, 2018, ‘Evaluation of Pulsed I-V Analysis as Validation Tool of Nonlinear RF Models of GaN-Based HFETs’. IEEE Transactions on Electron Devices, vol 65., pp. 5307-5313
• Bobillo, F, Laskey, KJ, Martin, T & Nickles, M, 2018, ‘Special issue on “Uncertainty Reasoning for the Web”’. International Journal of Approximate Reasoning, vol 93., pp. 327-329
• Castelltort, A & Martin, T, 2017, ‘Handling scalable approximate queries over NoSQL graph databases: Cypherf and the Fuzzy4S framework’. Fuzzy Sets and Systems.
• Anggraini, RN & Martin, TP, 2017, ‘Fuzzy Representation for Flexible Requirement Satisfaction’. in: Fei Chao , Steven Schockaert , Qingfu Zhang (eds) Advances in Computational Intelligence Systems - : Contributions Presented at the 17th UK Workshop on Computational Intelligence. Springer, pp. 28-36
• Martin, T & Azvine, B, 2017, ‘A virtual machine for event sequence identification using fuzzy tolerance’. in: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016): Proceedings of a meeting held 24-29 July 2016, Vancouver, British Columbia, Canada. Institute of Electrical and Electronics Engineers (IEEE), pp. 1080-1087