All Outputs (22)

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation (2021)
Conference Proceeding

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images. Most recent studies have c... Read More about FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation.

Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox (2021)
Conference Proceeding

The use of Hierarchical Fuzzy Systems (HFS) has been well acknowledged as a good approach in reducing the complexity and improving the interpretability of fuzzy logic systems (FLS). Over the past years, many fuzzy logic toolkits have been made availa... Read More about Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox.

An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems (2021)
Conference Proceeding

Recent years have seen a surge in interest in non-singleton fuzzy systems. These systems enable the direct modelling of uncertainty affecting systems' inputs using the fuzzification stage. Moreover, recent work has shown how different composition app... Read More about An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems.

Comparing Intervals Using Type Reduction (2020)
Conference Proceeding

Many decision making processes are based on choosing options with maximum utility. Often utility assessments are associated with uncertainty, which may be mathematically modeled by intervals of utilities. Intervals of utilities may be mapped to singl... Read More about Comparing Intervals Using Type Reduction.

FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language (2020)
Conference Proceeding

This paper presents an R package FuzzyR which is an extended fuzzy logic toolbox for the R programming language. FuzzyR is a continuation of the previous Fuzzy R toolboxes such as FuzzyToolkitUoN. Whilst keeping existing functionalities of the previo... Read More about FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language.

Performance and Interpretability in Fuzzy Logic Systems – can we have both? (2020)
Conference Proceeding

Fuzzy Logic Systems can provide a good level of interpretability and may provide a key building block as part of a growing interest in explainable AI. In practice, the level of interpretability of a given fuzzy logic system is dependent on how well i... Read More about Performance and Interpretability in Fuzzy Logic Systems – can we have both?.

A Comprehensive Study of the Efficiency of Type-Reduction Algorithms (2020)
Journal Article

Improving the efficiency of type-reduction algorithms continues to attract research interest. Recently, there have been some new type-reduction approaches claiming that they are more efficient than the well-known algorithms such as the enhanced Karni... Read More about A Comprehensive Study of the Efficiency of Type-Reduction Algorithms.

Just–In–Time Supply Chain Management Using Interval Type–2 Fuzzy Decision Making (2019)
Conference Proceeding

We propose the application of interval type-2 fuzzy decision making (IT2FDM) to dynamic scheduling of deliveries in a just-in-time logistic process. Delivery decisions are based on order priorities computed from the expected decrease of customer sati... Read More about Just–In–Time Supply Chain Management Using Interval Type–2 Fuzzy Decision Making.

Biochar enhances soil hydraulic function but not soil aggregation in a sandy loam (2018)
Journal Article

© 2018 British Society of Soil Science Biochar has the potential to modify soil structure and soil hydraulic properties because of its small particle density, highly porous structure, grain size distribution and surface chemistry. However, knowledge... Read More about Biochar enhances soil hydraulic function but not soil aggregation in a sandy loam.

Risk sensitive decision making using type reduction methods (2018)
Presentation / Conference Contribution
Runkler, T. A., Chen, C., & John, R. (in press). Risk sensitive decision making using type reduction methods. In Proceedings. 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018

A comment on "A direct approach for determining the switch points in the Karnik-Mendel algorithm" (2018)
Journal Article

This letter is a supplement to the previous paper “A Direct Approach for Determining the Switch Points in the Karnik-Mendel Algorithm”. In the previous paper, the enhanced iterative algorithm with stop condition (EIASC) was shown to be the most ineff... Read More about A comment on "A direct approach for determining the switch points in the Karnik-Mendel algorithm".

Type reduction operators for interval type–2 defuzzification (2018)
Journal Article

Fuzzy sets are an important approach to model uncertainty. Defuzzification maps fuzzy sets to non–fuzzy (crisp) values. Type–2 fuzzy sets model uncertainty in the degree of membership in a fuzzy set. Type–2 defuzzification maps type–2 fuzzy sets to n... Read More about Type reduction operators for interval type–2 defuzzification.

Empirical study of BIM implementation–based perceptions among Chinese practitioners (2017)
Journal Article
Jin, R., Hancock, C., Tang, L., Chen, C., Wanatowski, D., & Yang, L. (2017). Empirical study of BIM implementation–based perceptions among Chinese practitioners. Journal of Management in Engineering, 33(5), https://doi.org/10.1061/%28ASCE%29ME.1943-5479.0000538

The global movement of building information modeling (BIM) is spreading the implementation of BIM from developed countries to other developing countries. Practitioners’ perceptions of BIM implementation in these developing countries, such as China, a... Read More about Empirical study of BIM implementation–based perceptions among Chinese practitioners.

Type-1 and interval type-2 ANFIS: a comparison (2017)
Presentation / Conference Contribution
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. (2017). Type-1 and interval type-2 ANFIS: a comparison.

In a previous paper, we proposed an extended ANFIS architecture and showed that interval type-2 ANFIS produced larger errors than type-1 ANFIS on the well-known IRIS classification problem. In this paper, more experiments on both synthetic and real-w... Read More about Type-1 and interval type-2 ANFIS: a comparison.

A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm (2017)
Journal Article
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. (2018). A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm. IEEE Transactions on Fuzzy Systems, 26(2), 1079-1085. https://doi.org/10.1109/tfuzz.2017.2699168

The Karnik-Mendel algorithm is used to compute the centroid of interval type-2 fuzzy sets, determining the switch points needed for the lower and upper bounds of the centroid, through an iterative process. It is commonly acknowledged that there is n... Read More about A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm.

A new accuracy measure based on bounded relative error for time series forecasting (2017)
Journal Article
Chen, C., Twycross, J., & Garibaldi, J. M. (2017). A new accuracy measure based on bounded relative error for time series forecasting. PLoS ONE, 12(3), Article e0174202. https://doi.org/10.1371/journal.pone.0174202

Many accuracy measures have been proposed in the past for time series forecasting comparisons. However, many of these measures suffer from one or more issues such as poor resistance to outliers and scale dependence. In this paper, while summarising c... Read More about A new accuracy measure based on bounded relative error for time series forecasting.

A review of thermal absorbers and their integration methods for the combined solar photovoltaic/thermal (PV/T) modules (2016)
Journal Article
Wu, J., Zhang, X., Shen, J., Wu, Y., Connelly, K., Yang, T., …Wang, H. (in press). A review of thermal absorbers and their integration methods for the combined solar photovoltaic/thermal (PV/T) modules. Renewable and Sustainable Energy Reviews, 75, https://doi.org/10.1016/j.rser.2016.11.063

Thermal absorbers and their integration methods are critical to solar photovoltaic/thermal (PV/T) modules. These two elements directly influence the cooling effort of PV layers and as a result, the related electrical/thermal/overall efficiency. This... Read More about A review of thermal absorbers and their integration methods for the combined solar photovoltaic/thermal (PV/T) modules.

The role of anti-aquaporin 4 antibody in the conversion of acute brainstem syndrome to neuromyelitis optica (2016)
Journal Article
Cheng, C., Jiang, Y., Lu, X., Gu, F., Kang, Z., Dai, Y., …Hu, X. (in press). The role of anti-aquaporin 4 antibody in the conversion of acute brainstem syndrome to neuromyelitis optica. BMC Neurology, 16(1), https://doi.org/10.1186/s12883-016-0721-1

Background: Acute brainstem syndrome (ABS) may herald multiple sclerosis (MS), neuromyelitis optica (NMO), or occur as an isolated syndrome. The aquaporin 4 (AQP4)-specific serum autoantibody, NMO-IgG, is a biomarker for NMO. However, the role of ant... Read More about The role of anti-aquaporin 4 antibody in the conversion of acute brainstem syndrome to neuromyelitis optica.

An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models (2016)
Presentation / Conference Contribution
Chen, C., John, R., Twycross, J., & Garibaldi, J. M. (2016). An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models.

In this paper, an extended ANFIS architecture is proposed. By incorporating an extra layer for the fuzzification process, the extended architecture is able to fit both type-1 and interval type-2 models. The learning properties of the proposed archite... Read More about An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models.

A novel photonic crystal band-pass filter using degenerate modes of a point-defect microcavity for terahertz communication systems (2014)
Journal Article

Compact devices are important for the realization of terahertz communications systems. This article proposes a novel photonic crystal-based device for realizing microminiature, high-selectivity high Q band-pass filters (BPF) and the design of a dual-... Read More about A novel photonic crystal band-pass filter using degenerate modes of a point-defect microcavity for terahertz communication systems.