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A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method (2020)
Journal Article
Deveci, M., Özcan, E., John, R., Covrig, C., & Pamucar, D. (2020). A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method. Journal of Environmental Management, 270, https://doi.org/10.1016/j.jenvman.2020.110916

This study investigates the degree of importance of criteria affecting the optimal site selection of offshore wind farms. Firstly, forty two different influential criteria have been selected by reviewing the scientific literature on offshore wind far... Read More about A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method.

Constrained Interval Type-2 Fuzzy Sets (2020)
Journal Article
Dalterio, P., Garibaldi, J. M., John, R., & Pourabdollah, A. (2020). Constrained Interval Type-2 Fuzzy Sets. IEEE Transactions on Fuzzy Systems, https://doi.org/10.1109/tfuzz.2020.2970911

In many contexts, type-2 fuzzy sets are obtained from a type-1 fuzzy set to which we wish to add uncertainty. However, in the current type-2 representation there is no restriction on the shape of the footprint of uncertainty and the embedded sets tha... Read More about Constrained Interval Type-2 Fuzzy Sets.

A Bibliometric Overview of the Field of Type-2 Fuzzy Sets and Systems [Discussion Forum] (2020)
Journal Article
Banshal, S. K., Shukla, A. K., Kumar Bansal, S., Seth, T., Basu, A., John, R., & Muhuri, P. K. (2020). A Bibliometric Overview of the Field of Type-2 Fuzzy Sets and Systems [Discussion Forum]. IEEE Computational Intelligence Magazine, 15(1), 89-98. https://doi.org/10.1109/MCI.2019.2954669

© 2005-2012 IEEE. 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 uncertainty in our knowledge of a particular situa... Read More about A Bibliometric Overview of the Field of Type-2 Fuzzy Sets and Systems [Discussion Forum].

Comparing Performance Potentials of Classical and Intuitionistic Fuzzy Systems in Terms of Sculpting the State Space (2019)
Journal Article
Mendel, J. M., Eyoh, I., & John, R. (2019). Comparing Performance Potentials of Classical and Intuitionistic Fuzzy Systems in Terms of Sculpting the State Space. IEEE Transactions on Fuzzy Systems, doi:10.1109/TFUZZ.2019.2933786

This paper provides new application-independent perspectives about the performance potential of an intuitionistic (I-) fuzzy system over a (classical) TSK fuzzy system. It does this by extending sculpting the state space works from a TSK fuzzy system... Read More about Comparing Performance Potentials of Classical and Intuitionistic Fuzzy Systems in Terms of Sculpting the State Space.

A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification (2019)
Conference Proceeding
Jimenez, M., Torres, M. T., John, R., & Triguero, I. (2019). A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)https://doi.org/10.1109/fuzz-ieee.2019.8858830

Citizen science is becoming mainstream in a wide variety of real-world applications in astronomy or bioinformatics, in which, for example, classification tasks by experts are very time consuming. These projects engage amateur volunteers that are task... Read More about A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification.

A study on the interpretability of a fuzzy system to control an inverted pendulum (2019)
Conference Proceeding
Zeren, B., Deveci, M., Coupland, S., John, R., & Ender¨ozcan, E. (2019). A study on the interpretability of a fuzzy system to control an inverted pendulum

Fuzzy systems mimic human reasoning and provide solutions to problems under uncertainty via 'computing with words'. This particular strength of fuzzy systems is often discarded in some real world applications where the fuzzy sets are designed for con... Read More about A study on the interpretability of a fuzzy system to control an inverted pendulum.

The quantification of subjectivity: The R-fuzzy grey analysis framework (2019)
Journal Article
Khuman, A. S., Yang, Y., & John, R. (2019). The quantification of subjectivity: The R-fuzzy grey analysis framework. Expert Systems with Applications, 136, 201-216. doi:10.1016/j.eswa.2019.06.043

This paper puts forward a newly derived framework for capturing and inferring from subjective based uncertainty for any given observation. The framework is referred to as the R-fuzzy grey analysis framework (RfGAf), which itself is comprised of 3 dis... Read More about The quantification of subjectivity: The R-fuzzy grey analysis framework.

New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets (2019)
Journal Article
Mohamed, S. S., Abdalla, A., & John, R. I. (2019). New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets. Axioms, 8(2), 1-11. https://doi.org/10.3390/axioms8020073

In this paper we propose a new approach to construct similarity measures using the entropy measure for Interval-Valued Intuitionistic Fuzzy Sets. In addition, we provide several illustrative examples to demonstrate the practicality and effectivenes... Read More about New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets.

New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets (2019)
Journal Article
Mohamed, S. S., Abdalla, A., & John, R. I. (2019). New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets. Axioms, 8(2), https://doi.org/10.3390/axioms8020073

In this paper we propose a new approach to construct similarity measures using the entropy 1 measure for Interval-Valued Intuitionistic Fuzzy Sets. In addition, we provide several illustrative 2 examples to demonstrate the practicality and effectiven... Read More about New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets.

Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity (2019)
Journal Article
Uslan, V., Seker, H., & John, R. (2019). Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity. IEEE Access, 7(1), 49756-49764. https://doi.org/10.1109/access.2019.2910078

In the post-genome era, it is becoming more complex to process high dimensional, low-instance available, and nonlinear biological datasets. This paper aims to address these characteristics as they have adverse effects on the performance of predictive... Read More about Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity.

Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity (2019)
Journal Article
Uslan, V., Seker, H., & John, R. (2019). Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity. IEEE Access, 7, 49756-49764. doi:10.1109/access.2019.2910078

In the post-genome era, it is becoming more complex to process high dimensional, low-instance available, and nonlinear biological datasets. This paper aims to address these characteristics as they have adverse effects on the performance of predictive... Read More about Overlapping Clusters and Support Vector Machines Based Interval Type-2 Fuzzy System for the Prediction of Peptide Binding Affinity.

Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification (2018)
Journal Article
Jiménez, M., Triguero, I., & John, R. (2018). Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification. Information Sciences, doi:10.1016/j.ins.2018.12.011

Citizen Science, traditionally known as the engagement of amateur participants in research, is showing great potential for large-scale processing of data. In areas such as astronomy, biology, or geo-sciences, where emerging technologies generate huge... Read More about Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification.

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom (2018)
Journal Article
Figueredo, G. P., Agrawal, U., Mase, J., Mesgarpour, M., Wagner, C., Soria, D., …John, R. (2019). Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems, 20(9), 3324-3336. doi:10.1109/TITS.2018.2875343

Although driving behaviour has been largely studied amongst private motor vehicles drivers, the literature addressing heavy goods vehicle (HGV) drivers is scarce. Identifying the existing groups of driving stereotypes and their proportions enables re... Read More about Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.

OPTIMISED: developing a state of the art system for production planning for Industry 4.0 in the construction industry -based optimisation (2018)
Conference Proceeding
Teufl, S., Owa, K., Steinhauer, D., Castro, E., Herries, G., John, R., & Ratchev, S. (2018). OPTIMISED: developing a state of the art system for production planning for Industry 4.0 in the construction industry -based optimisation. In M. Peruzzini, M. Pellicciari, C. Bil, J. Stjepandić, & N. Wognum (Eds.), Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0 : Proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering, July 3 – 6, 2018, 731-740. doi:10.3233/978-1-61499-898-3-731

Although it is not uncommon to have a predictive model of a factory, these models are often simplistic in nature. Such models rarely reflect the current operating performance of the system, use simple and separate data streams and do not go down to m... Read More about OPTIMISED: developing a state of the art system for production planning for Industry 4.0 in the construction industry -based optimisation.

A comment on "A direct approach for determining the switch points in the Karnik-Mendel algorithm" (2018)
Journal Article
Chen, C., Wu, D., Garibaldi, J. M., John, R., Twycross, J., & Mendel, J. M. (2018). A comment on "A direct approach for determining the switch points in the Karnik-Mendel algorithm". IEEE Transactions on Fuzzy Systems, doi:10.1109/tfuzz.2018.2865134. ISSN 1063-6706

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
Runkler, T. A., Chen, C., & John, R. (2018). Type reduction operators for interval type–2 defuzzification. Information Sciences, 467, 464-476. doi:10.1016/j.ins.2018.08.023

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.

Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks (2018)
Conference Proceeding
Huynh, V. S. H., Radenkovic, M., & John, R. (2018). Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks

Smart networks and services leverage in-network caching to improve transmission efficiency and support large amount of content sharing, decrease high operating costs and handle disconnections. In this paper, we investigate the complex challenges rela... Read More about Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks.

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 Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018doi: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.


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