LUCID at FUZZ-IEEE 2019

The LUCID group have returned from a successful trip to the International Conference on Fuzzy Systems FUZZ-IEEE 2019 in New Orleans, Louisiana. Multiple papers are published from the group, all of which are listed below:

Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures
Utkarsh Agrawal, Christian Wagner, Jonathan M. Garibaldi and Daniele Soria

On the Concept of Meaningfulness in Constrained Type-2 Fuzzy Sets
Pasquale D'Alterio, Jonathan Garibaldi and Robert John

DECSYS - Discrete and Ellipse-based response Capture SYStem
Zack Ellerby, Josie McCulloch, John Young and Christian Wagner

A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification
Manuel Jimenez, Mercedes Torres Torres, Robert John and Isaac Triguero

Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions
Shaily Kabir, Christian Wagner, Timothy C. Havens and Derek T. Anderson

On Comparing and Selecting Approaches to Model Interval-Valued Data as Fuzzy Sets
Josie McCulloch, Zack Ellerby and Christian Wagner

Measuring Inter-group Agreement on zSlice Based General Type-2 Fuzzy Sets
Javier Navarro and Christian Wagner

Leveraging IT2 Input Fuzzy Sets in Non-Singleton Fuzzy Logic Systems to Dynamically Adapt to Varying Uncertainty Levels
Direnc Pekaslan, Christian Wagner and Jonathan M. Garibaldi

A Measure of Structural Complexity of Hierarchical Fuzzy Systems Adapted from Software Engineering
Tajul Rosli Razak, Jonathan M. Garibaldi and Christian Wagner

A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi

Fuzzy Hot Spot Identification for Big Data: An Initial Approach
Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Ender Ozcan, Mohammad Mesgarpour and Robert I. John