All Outputs (7)

Interval type-2 intuitionistic fuzzy logic systems - A comparative evaluation (2018)
Conference Proceeding
Eyoh, I., John, R., & De Maere, G. (2018). Interval type-2 intuitionistic fuzzy logic systems - A comparative evaluation. In J. Medina, M. Ojeda-Aciego, J. L. Verdegay, D. A. Pelta, I. P. Cabrera, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018 (687-698). https://doi.org/10.1007/978-3-319-91473-2_58

Several fuzzy modeling techniques have been employed for handling uncertainties in data. This study presents a comparative evaluation of a new class of interval type-2 fuzzy logic system (IT2FLS) namely: interval type-2 intuitionistic fuzzy logic sys... Read More about Interval type-2 intuitionistic fuzzy logic systems - A comparative evaluation.

Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system (2017)
Conference Proceeding
Eyoh, I., John, R., & De Maere, G. (2017). Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system. In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (728-733). https://doi.org/10.1109/SMC.2017.8122694

Fuzzy logic systems have been extensively applied for solving many real world application problems because they are found to be universal approximators and many methods, particularly, gradient descent (GD) methods have been widely adopted for the opt... Read More about Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system.

Time series forecasting with interval type-2 intuitionistic fuzzy logic systems (2017)
Conference Proceeding
Eyoh, I., John, R., & de Maere, G. (in press). Time series forecasting with interval type-2 intuitionistic fuzzy logic systems.

Conventional fuzzy time series approaches make use of type-1 or type-2 fuzzy models. Type-1 models with one index (membership grade) cannot fully handle the level of uncertainty inherent in many real world applications. The type-2 models with upper a... Read More about Time series forecasting with interval type-2 intuitionistic fuzzy logic systems.

Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations (2017)
Conference Proceeding
Paternostro, S., Moore, T., Hill, C., Atkin, J., De Maere, G., & Morvan, H. (2017). Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations. In 2016 8th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC) (1-15). https://doi.org/10.1109/NAVITEC.2016.7849330

Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a new Aircraft Based Augmentation System (ABAS) technique, firstly presented in the two reports of the GNSS Evolutionary Architecture Study (GEAS). The ARAIM technique offers the opportunit... Read More about Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations.

Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction (2016)
Conference Proceeding
Eyoh, I., John, R., & de Maere, G. (2016). Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction.

This paper presents an approach to prediction based on a new interval type-2 intuitionistic fuzzy logic system (IT2IFLS) of Takagi-Sugeno-Kang (TSK) fuzzy inference. The gradient descent algorithm (GDA) is used to adapt the parame- ters of the IT2IFL... Read More about Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction.

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty (2014)
Conference Proceeding
Bayliss, C. D., de Maere, G., Atkin, J., & Paelinck, M. (2014). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

Airlines operate in an uncertain environment for many reasons, for example due to the efects of weather, traffic or crew unavailability (due to delay or sickness). This work focuses on airline reserve crew scheduling under crew absence and journey ti... Read More about A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

The Effects of the Planning Horizon on Heathrow TSAT Allocation (2014)
Conference Proceeding
De Maere, G., Atkin, J., & Burke, E. (2014). The Effects of the Planning Horizon on Heathrow TSAT Allocation. In E. Özcan, E. K. Burke, & B. McCollum (Eds.), PATAT 2014: Proceedings of the 10th International Conference of the Practice and Theory of Automated Timetabling (446-449)