Outputs (81)

Exploring subsethood to determine firing strength in non-singleton fuzzy logic systems (2018)
Presentation / Conference Contribution
Pekaslan, D., Garibaldi, J. M., & Wagner, C. (2018, July). Exploring subsethood to determine firing strength in non-singleton fuzzy logic systems. Presented at IEEE World Congress on Computational Intelligence (WCCI 2018)

Real world environments face a wide range of sources of noise and uncertainty. Thus, the ability to handle various uncertainties, including noise, becomes an indispensable element of automated decision making. Non-Singleton Fuzzy Logic Systems (NSFLS... Read More about Exploring subsethood to determine firing strength in non-singleton fuzzy logic systems.

Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms (2018)
Presentation / Conference Contribution
Agrawal, U., Pinar, A. J., Wagner, C., Havens, T. C., Soria, D., & Garibaldi, J. M. (2018, June). Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms. Presented at 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), Cadiz, Spain

The Fuzzy Integral (FI) is a non-linear aggregation operator which enables the fusion of information from multiple sources in respect to a Fuzzy Measure (FM) which captures the worth of both the individual sources and all their possible combinations.... Read More about Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms.

Efficient binary fuzzy measure representation and Choquet integral learning (2018)
Presentation / Conference Contribution
Islam, M. A., Anderson, D. T., Du, X., Havens, T. C., & Wagner, C. (2018, June). Efficient binary fuzzy measure representation and Choquet integral learning. Presented at 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018, Cádiz, Spain

The Choquet integral (ChI), a parametric function for information aggregation, is parameterized by the fuzzy measure (FM), which has 2N real-valued variables for N inputs. However, the ChI incurs huge storage and computational burden due to its expon... Read More about Efficient binary fuzzy measure representation and Choquet integral learning.

Input uncertainty sensitivity enhanced non-singleton fuzzy logic controllers for long-term navigation of quadrotor UAVs (2018)
Journal Article
Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R., & Garibaldi, J. M. (2018). Input uncertainty sensitivity enhanced non-singleton fuzzy logic controllers for long-term navigation of quadrotor UAVs. IEEE/ASME Transactions on Mechatronics, 23(2), 725-734. https://doi.org/10.1109/TMECH.2018.2810947

Input uncertainty, e.g., noise on the on-board camera and inertial measurement unit, in vision-based control of unmanned aerial vehicles (UAVs) is an inevitable problem. In order to handle input uncertainties as well as further analyze the interactio... Read More about Input uncertainty sensitivity enhanced non-singleton fuzzy logic controllers for long-term navigation of quadrotor UAVs.

Determining firing strengths through a novel similarity measure to enhance uncertainty handling in non-singleton fuzzy logic systems (2017)
Presentation / Conference Contribution
Pekaslan, D., Kabir, S., Wagner, C., & Garibaldi, J. M. (2017, November). Determining firing strengths through a novel similarity measure to enhance uncertainty handling in non-singleton fuzzy logic systems. Presented at International Joint Conference on Computational Intelligence (IJCCI 2017), Funchal, Madeira, Portugal

Non-singleton Fuzzy Logic Systems have the potential to tackle uncertainty within the design of fuzzy systems. The inference process has a major role in determining results, being partly based on the interaction of input and antecedent fuzzy sets (in... Read More about Determining firing strengths through a novel similarity measure to enhance uncertainty handling in non-singleton fuzzy logic systems.

Linking sensory perceptions and physical properties of orange drinks (2017)
Presentation / Conference Contribution
McCulloch, J., Isaev, S., Bachour, K., Jreissat, M., Wagner, C., & Makatsoris, C. Linking sensory perceptions and physical properties of orange drinks. Presented at IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2017)

This paper investigates if sensory perceptions of orange drinks (e.g., acidity, thickness, wateriness) can be linked to physical measurements (e.g., pH, particle size, density). Using this information, manufactured drinks can be tailored according to... Read More about Linking sensory perceptions and physical properties of orange drinks.

Efficient modeling and representation of agreement in interval-valued data (2017)
Presentation / Conference Contribution
Havens, T. C., Wagner, C., & Anderson, D. T. (2017, July). Efficient modeling and representation of agreement in interval-valued data. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy

Recently, there has been much research into effective representation and analysis of uncertainty in human responses, with applications in cyber-security, forest and wildlife management, and product development, to name a few. Most of this research ha... Read More about Efficient modeling and representation of agreement in interval-valued data.

Exploring the use of type-2 fuzzy sets in multi-criteria decision making based on TOPSIS (2017)
Presentation / Conference Contribution
Madi, E., Garibaldi, J. M., & Wagner, C. (2017, July). Exploring the use of type-2 fuzzy sets in multi-criteria decision making based on TOPSIS. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy

Multi-criteria decision making (MCDM) problems are a well known category of decision making problem that has received much attention in the literature, with a key approach being the Technique for Order Preference by Similarity to Ideal Solution (TOPS... Read More about Exploring the use of type-2 fuzzy sets in multi-criteria decision making based on TOPSIS.

Novel similarity measure for interval-valued data based on overlapping ratio (2017)
Presentation / Conference Contribution
Kabir, S., Wagner, C., Havens, T. C., Anderson, D. T., & Aickelin, U. (2017, July). Novel similarity measure for interval-valued data based on overlapping ratio. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy

In computing the similarity of intervals, current similarity measures such as the commonly used Jaccard and Dice measures are at times not sensitive to changes in the width of intervals, producing equal similarities for substantially different pairs... Read More about Novel similarity measure for interval-valued data based on overlapping ratio.

The arithmetic recursive average as an instance of the recursive weighted power mean (2017)
Presentation / Conference Contribution
Wagner, C., Havens, T. C., & Anderson, D. T. (2017, July). The arithmetic recursive average as an instance of the recursive weighted power mean. Presented at 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy

The aggregation of multiple information sources has a long history and ranges from sensor fusion to the aggregation of individual algorithm outputs and human knowledge. A popular approach to achieve such aggregation is the fuzzy integral (FI) which i... Read More about The arithmetic recursive average as an instance of the recursive weighted power mean.