Generating clustering-based interval fuzzy type-2 triangular and trapezoidal membership functions: A structured literature review

SH Khairuddin, MH Hasan, MA Hashmani, MH Azam - Symmetry, 2021 - mdpi.com
Clustering is more popular than the expert knowledge approach in Interval Fuzzy Type-2
membership function construction because it can construct membership function …

Wind turbine power output very short-term forecast: A comparative study of data clustering techniques in a PSO-ANFIS model

PA Adedeji, S Akinlabi, N Madushele… - Journal of Cleaner …, 2020 - Elsevier
The emergence of new sites for wind energy exploration in South Africa requires an
accurate prediction of the potential power output of a typical utility-scale wind turbine in such …

Performance evaluation of the impact of clustering methods and parameters on adaptive neuro-fuzzy inference system models for electricity consumption prediction …

S Oladipo, Y Sun, A Amole - Energies, 2022 - mdpi.com
Increasing economic and population growth has led to a rise in electricity consumption.
Consequently, electrical utility firms must have a proper energy management strategy in …

Analysis of the impact of clustering techniques and parameters on evolutionary-based hybrid models for forecasting electricity consumption

SO Oladipo, Y Sun, AO Amole - IEEE Access, 2023 - ieeexplore.ieee.org
Electricity is undeniably one of the most crucial building blocks of high-quality life all over the
world. Like many other African countries, Nigeria is still grappling with the challenge of the …

A novel approach to generate type-1 fuzzy triangular and trapezoidal membership functions to improve the classification accuracy

MH Azam, MH Hasan, S Hassan, SJ Abdulkadir - Symmetry, 2021 - mdpi.com
Fuzzy logic is an approach that reflects human thinking and decision making by handling
uncertainty and vagueness using fuzzy membership functions. When a human is engaged in …

Fuzzy decision trees embedded with evolutionary fuzzy clustering for locating users using wireless signal strength in an indoor environment

SJ Narayanan, CJ Baby, B Perumal… - … journal of intelligent …, 2021 - Wiley Online Library
Location estimation is one of the critical requirement for developing smart environment
products. Due to huge utilization and accessibility of WiFi infrastructure facility in indoor …

Continuous linguistic variables and their applications to data mining and time series prediction

E González-Caballero, RA Espín-Andrade… - International Journal of …, 2021 - Springer
Membership function estimation is one of the less explored, albeit important, areas in fuzzy
sets. This paper aims to define a new family of fuzzy sets called general continuous linguistic …

A firefly colony and its fuzzy approach for server consolidation and virtual machine placement in cloud datacenters

B Perumal, A Murugaiyan - Advances in Fuzzy Systems, 2016 - Wiley Online Library
Managing cloud datacenters is the most prevailing challenging task ahead for the IT
industries. The data centers are considered to be the main source for resource provisioning …

A novel framework of fuzzy oblique decision tree construction for pattern classification

Y Cai, H Zhang, Q He, J Duan - Applied Intelligence, 2020 - Springer
In this paper, some significant efforts on fuzzy oblique decision tree (FODT) have been done
to improve classification accuracy and decrease tree size. Firstly, to eliminate data …

Improving the accuracy of fuzzy decision tree by direct back propagation with adaptive learning rate and momentum factor for user localization

SJ Narayanan, RB Bhatt, B Perumal - Procedia Computer Science, 2016 - Elsevier
Most prevailing availability of wireless networks has elevated an interest in developing a
smart indoor environment by utilizing the hand held devices of the users. The user …