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An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models (2016)
Conference Proceeding
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.

Diversification of ortho-fused cycloocta-2,5-dien-1-one cores and 8 to 6-Ring conversion by sigma bond C-C cleavage (2016)
Journal Article
Eccleshare, L., Lozada-Rodriguez, L., Cooper, P., Burroughs, L., Ritchie, J., Lewis, W., & Woodward, S. (in press). Diversification of ortho-fused cycloocta-2,5-dien-1-one cores and 8 to 6-Ring conversion by sigma bond C-C cleavage. Chemistry - A European Journal, 22(35), doi:10.1002/chem.201601970

Sequential treatment of 2-C6H4Br(CHO) with LiC≡CR1 (R1 = SiMe3, tBu), nBuLi, CuBr∙SMe2 and HC≡CCHClR2 [R2 = Ph, 4-CF3Ph, 3-CNPh, 4-(MeO2C)Ph] at -50 oC leads to formation of an intermediate carbanion (Z)-1,2-C6H4{CA(=O)C≡CBR1}{CH=CH(CH–)R2} (4). Low... Read More about Diversification of ortho-fused cycloocta-2,5-dien-1-one cores and 8 to 6-Ring conversion by sigma bond C-C cleavage.

A similarity-based inference engine for non-singleton fuzzy logic systems (2016)
Conference Proceeding
Wagner, C., Pourabdollah, A., McCulloch, J., John, R., & Garibaldi, J. M. (2016). A similarity-based inference engine for non-singleton fuzzy logic systems. doi:10.1109/FUZZ-IEEE.2016.7737703

In non-singleton fuzzy logic systems (NSFLSs) input uncertainties are modelled with input fuzzy sets in order to capture input uncertainty such as sensor noise. The performance of NSFLSs in handling such uncertainties depends both on the actual input... Read More about A similarity-based inference engine for non-singleton fuzzy logic systems.

Human blood autoantibodies in the detection of colorectal cancer (2016)
Journal Article
Negm, O. H., Hamed, M. R., Schoen, R. E., Whelan, R. L., Steele, R. J., Scholefield, J., …Sewell, H. F. (2016). Human blood autoantibodies in the detection of colorectal cancer. PLoS ONE, 11(7), https://doi.org/10.1371/journal.pone.0156971

Colorectal cancer (CRC) is the second most common malignancy in the western world. Early detection and diagnosis of all cancer types is vital to improved prognosis by enabling early treatment when tumours should be both resectable and curable. Sera f... Read More about Human blood autoantibodies in the detection of colorectal cancer.

Type-2 fuzzy alpha-cuts (2016)
Journal Article
Hamrawi, H., Coupland, S., & John, R. (2017). Type-2 fuzzy alpha-cuts. IEEE Transactions on Fuzzy Systems, 25(3), doi:10.1109/TFUZZ.2016.2574914

Type-2 fuzzy logic systems make use of type-2 fuzzy sets. To be able to deliver useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these sets. These operations should also be practically tractable. However,... Read More about Type-2 fuzzy alpha-cuts.

Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice (2016)
Journal Article
Almaraashia, M., John, R., Hopgood, A., & Ahmadi, S. (2016). Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice. Information Sciences, 360, doi:10.1016/j.ins.2016.03.047

This paper reports the use of simulated annealing to design more efficient fuzzy logic systems to model problems with associated uncertainties. Simulated annealing is used within this work as a method for learning the best configurations of interval... Read More about Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice.

Multisensor navigation systems: a remedy for GNSS vulnerabilities? (2016)
Journal Article
Grejner-Brzezinska, D. A., Toth, C. K., Moore, T., Raquet, J. F., Miller, M. M., & Kealy, A. (2016). Multisensor navigation systems: a remedy for GNSS vulnerabilities?. Proceedings of the IEEE, 104(6), doi:10.1109/JPROC.2016.2528538

Space-based positioning, navigation, and timing (PNT) technologies, such as the global navigation satellite systems (GNSS) provide position, velocity, and timing information to an unlimited number of users around the world. In recent years, PNT infor... Read More about Multisensor navigation systems: a remedy for GNSS vulnerabilities?.

Characterisation of potato crisp effective porosity using micro-CT (2016)
Journal Article
Renshaw, R. C., Robinson, J. P., Dimitrakis, G., Bows, J. R., & Kingman, S. W. (2016). Characterisation of potato crisp effective porosity using micro-CT. Journal of the Science of Food and Agriculture, 96(13), doi:10.1002/jsfa.7655

Background The effective porosity is an important quantitative parameter for food products that has a significant effect on taste and quality. It is challenging to quantify the apparent porosity of fried potato crisps as they have a thin irregular... Read More about Characterisation of potato crisp effective porosity using micro-CT.

Quantification of R-Fuzzy sets (2016)
Journal Article
Singh Khuman, A., Yang, Y., & John, R. (2016). Quantification of R-Fuzzy sets. Expert Systems with Applications, 55, doi:10.1016/j.eswa.2016.02.010

The main aim of this paper is to connect R-Fuzzy sets and type-2 fuzzy sets, so as to provide a practical means to express complex uncertainty without the associated difficulty of a type-2 fuzzy set. The paper puts forward a significance measure, to... Read More about Quantification of R-Fuzzy sets.

Understanding anionic Chugaev elimination in pericyclic tetracene formation (2016)
Journal Article
Burroughs, L., Ritchie, J., & Woodward, S. (2016). Understanding anionic Chugaev elimination in pericyclic tetracene formation. Tetrahedron, 72(13), doi:10.1016/j.tet.2016.02.025

The reaction pathway for the formation of tetracenes from the diols 1,2-C6H4(CHOHC≡CAr)2 , LiHDMS, CS2 and MeI has been modelled by computational methods at the CBS-QB3 level of theory. Comparison of PhCHOC(=S)YCCPh (Y = S- or SMe) indicates a sligh... Read More about Understanding anionic Chugaev elimination in pericyclic tetracene formation.

The NHS Health Check in England: an evaluation of the first 4 years (2016)
Journal Article
Robson, J., Dostal, I., Sheikh, A., Eldridge, S., Madurasinghe, V., Griffiths, C., …Hippisley-Cox, J. (2016). The NHS Health Check in England: an evaluation of the first 4 years. BMJ Open, 6(1), doi:10.1136/bmjopen-2015-008840

Objectives: To describe implementation of a new national preventive programme to reduce cardiovascular morbidity. Design: Observational study over 4 years (April 2009—March 2013). Setting: 655 general practices across England from the QResear... Read More about The NHS Health Check in England: an evaluation of the first 4 years.

Baseline characteristics, analysis plan and report on feasibility for the Prevention Of Decline in Cognition After Stroke Trial (PODCAST) (2015)
Journal Article
Scutt, P., Blackburn, D., Krishnan, K., Ballard, C., Burns, A., Ford, G. A., …Bath, P. M. (2015). Baseline characteristics, analysis plan and report on feasibility for the Prevention Of Decline in Cognition After Stroke Trial (PODCAST). Trials, 16(1), doi:10.1186/s13063-015-1033-2

Background A common complication after stroke is development of cognitive impairment and dementia. However, effective strategies for reducing the risk of developing these problems remain undefined. Potential strategies include intensive lowering o... Read More about Baseline characteristics, analysis plan and report on feasibility for the Prevention Of Decline in Cognition After Stroke Trial (PODCAST).

Good Laboratory Practice for optimization research (2015)
Journal Article
Kendall, G., Bai, R., Blazewicz, J., De Causmaecker, P., Gendreau, M., John, R., …Yee, A. (2016). Good Laboratory Practice for optimization research. Journal of the Operational Research Society, 67(4), doi:10.1057/jors.2015.77

Good Laboratory Practice has been a part of non-clinical research for over 40 years yet. Optimization Research, despite having many papers discussing standards being published over the same period of time, has yet to embrace standards that underpin i... Read More about Good Laboratory Practice for optimization research.

Computing Nash equilibria and evolutionarily stable states of evolutionary games (2015)
Journal Article
Li, J., Kendall, G., & John, R. (in press). Computing Nash equilibria and evolutionarily stable states of evolutionary games. IEEE Transactions on Evolutionary Computation, 20(3), doi:10.1109/TEVC.2015.2490076

Stability analysis is an important research direction in evolutionary game theory. Evolutionarily stable states have a close relationship with Nash equilibria of repeated games, which are characterized by the folk theorem. When applying the folk theo... Read More about Computing Nash equilibria and evolutionarily stable states of evolutionary games.

A data analysis framework to rank HGV drivers (2015)
Conference Proceeding
Figueredo, G. P., Quinlan, P., Mesgarpour, M., Garibaldi, J. M., & John, R. (2015). A data analysis framework to rank HGV drivers

We report on the details of the methodology applied to support shortlisting the nominees for the Microlise Driver of the Year awards. The aim was to recognise the United Kingdom’s most talented heavy goods vehicle (HGV) drivers, with the list of top... Read More about A data analysis framework to rank HGV drivers.

Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey (2015)
Journal Article
Deveci, M., Çetin Demirel, N., John, R., & Özcan, E. (in press). Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey. Journal of Natural Gas Science and Engineering, 27(2), doi:10.1016/j.jngse.2015.09.004

The problem of choosing the best location for CO2 storage is a crucial and challenging multi-criteria decision problem for some companies. This study compares the performance of three fuzzy-based multi-criteria decision making (MCDM) methods, includi... Read More about Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey.

Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing (2015)
Conference Proceeding
Tyasnurita, R., Özcan, E., Shahriar, A., & John, R. (2015). Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing

A hyper-heuristic is a heuristic optimisation method which generates or selects heuristics (move operators) based on a set of components while solving a computationally difficult problem. Apprenticeship learning arises while observing the behavior of... Read More about Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing.

One-pot Cannizzaro cascade synthesis of ortho-Fused Cycloocta-2,5-dien-1-ones from 2-Bromo(hetero)aryl aldehydes (2015)
Journal Article
Burroughs, L., Eccleshare, L., Ritchie, J., Kulkarni, O., Lygo, B., Woodward, S., & Lewis, W. (2015). One-pot Cannizzaro cascade synthesis of ortho-Fused Cycloocta-2,5-dien-1-ones from 2-Bromo(hetero)aryl aldehydes. Angewandte Chemie International Edition, 54(36), https://doi.org/10.1002/anie.201505347

An intramolecular Cannizzaro-type hydride transfer to an in situ prepared allene enables the synthesis of orthofused 4-substituted cycloocta-2,5-dien-1-ones with unprecedented technical ease for an eight-ring carboannulation. Various derivatives coul... Read More about One-pot Cannizzaro cascade synthesis of ortho-Fused Cycloocta-2,5-dien-1-ones from 2-Bromo(hetero)aryl aldehydes.

A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation (2015)
Conference Proceeding
He, F., Qu, R., & John, R. (2015). A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation

In this paper we investigate a multi-objective portfolio selection model with three criteria: risk, return and liquidity for investors. Non-probabilistic uncertainty factors in the market, such as imprecision and vagueness of investors’ preference an... Read More about A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation.


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