Outputs (14)

Measuring agreement on linguistic expressions in medical treatment scenarios (2016)
Presentation / Conference Contribution
Navarro, J., Wagner, C., Aickelin, U., Green, L., & Ashford, R. (2016, December). Measuring agreement on linguistic expressions in medical treatment scenarios. Presented at 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece

Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients’ perceptions of their functional status and well-being are important inputs for impairment assessment. Given that patient completed que... Read More about Measuring agreement on linguistic expressions in medical treatment scenarios.

Cancer subtype identification pipeline: a classifusion approach (2016)
Presentation / Conference Contribution
Agrawal, U., Soria, D., & Wagner, C. Cancer subtype identification pipeline: a classifusion approach. Presented at 2016 IEEE Congress on Evolutionary Computation (CEC)

Classification of cancer patients into treatment groups is essential for appropriate diagnosis to increase survival. Previously, a series of papers, largely published in the breast cancer domain have leveraged Computational Intelligence (CI) developm... Read More about Cancer subtype identification pipeline: a classifusion approach.

Exploring differences in interpretation of words essential in medical expert-patient communication (2016)
Presentation / Conference Contribution
Navarro, J., Wagner, C., Aickelin, U., Green, L., & Robert, A. (2016, July). Exploring differences in interpretation of words essential in medical expert-patient communication. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver, Canada

In the context of cancer treatment and surgery, quality of life assessment is a crucial part of determining treatment success and viability. In order to assess it, patient-completed questionnaires which employ words to capture aspects of patients’ we... Read More about Exploring differences in interpretation of words essential in medical expert-patient communication.

Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal Secondary membership functions (2016)
Presentation / Conference Contribution
McCulloch, J., & Wagner, C. (2016, June). Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal Secondary membership functions. Presented at 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, Vancouver, BC, Canada

This paper presents a method of measuring the similarity between general type-2 fuzzy sets that may have non-normal secondary membership functions. Such fuzzy sets are increasingly common in applications such as the modelling of the subjective meanin... Read More about Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal Secondary membership functions.

A similarity-based inference engine for non-singleton fuzzy logic systems (2016)
Presentation / Conference Contribution
Wagner, C., Pourabdollah, A., McCulloch, J., John, R., & Garibaldi, J. M. (2016, July). A similarity-based inference engine for non-singleton fuzzy logic systems. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver, BC, Canada

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.

A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers (2016)
Presentation / Conference Contribution
Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R., & Garibaldi, J. M. A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016)

Fuzzy logic controllers (FLCs) have extensively been used for the autonomous control and guidance of unmanned aerial vehicles (UAVs) due to their capability of handling uncertainties and delivering adequate control without the need for a precise, mat... Read More about A comparative study on the control of Quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers.

Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study (2016)
Presentation / Conference Contribution
Marchal, P. C., Wagner, C., Gámez, J. G., & Gómez, J. O. Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016)

Decision support systems (DSSs) are a convenient tool to aid plant operators in the selection of process set points. Inputs to these systems for variables that are not easily measured online often come from assessments made by experts, with an associ... Read More about Modelling uncertainty in production processes using non-singleton fuzzification and fuzzy cognitive maps: a virgin olive oil case study.

Measuring player’s behaviour change over time in public goods game (2016)
Presentation / Conference Contribution
Fattah, P., Aickelin, U., & Wagner, C. (2016, September). Measuring player’s behaviour change over time in public goods game. Presented at SAI Intelligent Systems Conference 2016, London, UK

An important issue in public goods game is whether player's behaviour changes over time, and if so, how significant it is. In this game players can be classified into different groups according to the level of their participation in the public good.... Read More about Measuring player’s behaviour change over time in public goods game.

Modelling cyber-security experts' decision making processes using aggregation operators (2016)
Journal Article
Miller, S., Wagner, C., Aickelin, U., & Garibaldi, J. M. (2016). Modelling cyber-security experts' decision making processes using aggregation operators. Computers and Security, 62, 229-245. https://doi.org/10.1016/j.cose.2016.08.001

An important role carried out by cyber-security experts is the assessment of proposed computer systems, during their design stage. This task is fraught with difficulties and uncertainty, making the knowledge provided by human experts essential for su... Read More about Modelling cyber-security experts' decision making processes using aggregation operators.

Contrasting singleton type-1 and interval type-2 non-singleton type-1 fuzzy logic systems (2016)
Presentation / Conference Contribution
Aladi, J. H., Wagner, C., & Pourabdollah, A. Contrasting singleton type-1 and interval type-2 non-singleton type-1 fuzzy logic systems. Presented at 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016)

Most applications of both type-1 and type-2 fuzzy logic systems are employing singleton fuzzification due to its simplicity and reduction in its computational speed. However, using singleton fuzzification assumes that the input data (i.e., measuremen... Read More about Contrasting singleton type-1 and interval type-2 non-singleton type-1 fuzzy logic systems.