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 Comments are closed.
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