Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data

Khanesar, M. A.; Branson, David T.

doi:10.1109/JSEN.2021.3067841

All Outputs (5)

Optimization of interval type-2 fuzzy logic system using grasshopper optimization algorithm (2021)
Journal Article
Hassan, S., Khanesar, M. A., Hussein, N. K., Belhaouari, S. B., Amjad, U., & Mashwani, W. K. (2022). Optimization of interval type-2 fuzzy logic system using grasshopper optimization algorithm. Computers, Materials & Continua, 71(2), 3513-3531. https://doi.org/10.32604/cmc.2022.022018

The estimation of the fuzzy membership function parameters for interval type 2 fuzzy logic system (IT2-FLS) is a challenging task in the presence of uncertainty and imprecision. Grasshopper optimization algorithm (GOA) is a fresh population based met... Read More about Optimization of interval type-2 fuzzy logic system using grasshopper optimization algorithm.

Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device” (2021)
Journal Article
Lakoju, M., Ajienka, N., Khanesar, M. A., Burnap, P., & Branson, D. T. (2021). Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”. Sensors, 21(15), Article 4991. https://doi.org/10.3390/s21154991

To create products that are better fit for purpose, manufacturers require new methods for gaining insights into product experience in the wild at scale. “Chatty Factories” is a concept that explores the transformative potential of placing IoT-enabled... Read More about Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”.

Sliding-Mode Fuzzy Controllers (2021)
Book
Ahmadieh Khanesar, M., Kaynak, O., & Kayacan, E. (2021). Sliding-Mode Fuzzy Controllers. Springer. https://doi.org/10.1007/978-3-030-69182-0

This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicabil... Read More about Sliding-Mode Fuzzy Controllers.

Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach (2021)
Journal Article
Khanesar, M. A., Lu, J., Smith, T., & Branson, D. (2021). Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach. Energies, 14(12), 1-18. https://doi.org/10.3390/en14123591

Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of rene... Read More about Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach.

Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data (2021)
Journal Article
Khanesar, M. A., & Branson, D. T. (2021). Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data. IEEE Sensors Journal, 21(12), 13815-13827. https://doi.org/10.1109/JSEN.2021.3067841

This paper presents a novel approach to identify the prediction interval associated with data using interval type-2 fuzzy logic systems with support vector regression. For such a purpose, a constrained quadratic objective function is defined which is... Read More about Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data.