Type-2 fuzzy sets as well as computing with words

JM Mendel - IEEE Computational Intelligence Magazine, 2019 - ieeexplore.ieee.org
Lotfi Zadeh, the father of fuzzy sets and fuzzy logic, introduced many of their important
concepts, two of which are discussed in this article namely, type-2 fuzzy sets and computing …

A fog-based hybrid intelligent system for energy saving in smart buildings

A De Paola, P Ferraro, G Lo Re, M Morana… - Journal of Ambient …, 2020 - Springer
In recent years, the widespread diffusion of pervasive sensing devices and the increasing
need for reducing energy consumption have encouraged research in the energy-aware …

A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization

A Starkey, H Hagras, S Shakya, G Owusu - Information Sciences, 2016 - Elsevier
In industries which employ large numbers of mobile field engineers (resources), there is a
need to optimize the task allocation process. This particularly applies to utility companies …

Perovskite-based memristor with 50-fold switchable photosensitivity for in-sensor computing neural network

Q Chen, T Han, J Zeng, Z He, Y Liu, J Sun, M Tang… - Nanomaterials, 2022 - mdpi.com
In-sensor computing can simultaneously output image information and recognition results
through in-situ visual signal processing, which can greatly improve the efficiency of machine …

A bibliometric overview of the field of type-2 fuzzy sets and systems [discussion forum]

AK Shukla, SK Banshal, T Seth, A Basu… - IEEE Computational …, 2020 - ieeexplore.ieee.org
Fuzzy Sets and Systems is an area of computational intelligence, pioneered by Lotfi Zadeh
over 50 years ago in a seminal paper in Information and Control. Fuzzy Sets (FSs) deal with …

Fuzzy neural network-based model predictive control for dissolved oxygen concentration of WWTPs

HG Han, Z Liu, JF Qiao - International Journal of Fuzzy Systems, 2019 - Springer
Dissolved oxygen (DO) concentration is a key variable in the operation of wastewater
treatment processes (WWTPs). In this paper, an adaptive fuzzy neural network-based model …

Furthering service 4.0: Harnessing intelligent immersive environments and systems

A Pena-Rios, H Hagras, G Owusu… - IEEE Systems, Man …, 2018 - ieeexplore.ieee.org
With the increasing complexity of service operations in different industries and more
advanced uses of specialized equipment and procedures, the great current challenge for …

Smartphone-assisted pronunciation learning technique for ambient intelligence

J Lee, CH Lee, DW Kim, BY Kang - IEEE Access, 2016 - ieeexplore.ieee.org
In an ambient intelligence (AmI) environment, electronic devices that comprise the Internet of
things (IoT) network work together seamlessly to provide a wide variety of applications and …

A Type-2 Fuzzy Based Multi-Objective Optimisation for Strategic Network Planning in the Telecommunication Domain

L Beasley, H Hagras, A Conway… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Strategic planning within the telecommunication domain has become necessary to ensure
that networks supplying broadband are capable of being designed and updated proactively …

Adaptive variable-structure basis function expansions: Candidates for machine learning

JM Mendel - Information Sciences, 2019 - Elsevier
This paper proposes a novel top-down approach to rule-based fuzzy systems, one that
begins with the product—an equation—and then addresses the unique features of the …