The Eleventh International Workshop on Fuzzy Logic and Applications (WILF 2016) covers all topics in theoretical, experimental and application areas of fuzzy, rough and soft computing in general, with the aim of bringing together researchers from academia and industry to report on the latest advances in their fields of interest.

A major objective of WILF 2016 in the present rich data era is the presentation of the consolidated results of fuzzy, rough and soft computing and of thier potential applications to the analysis of Big Data and Computer Vision tasks and the potential impact on Deep Learning as mechanism to capture hidden information from data.

Topics of interest include, but are not limited to:
Theory and Methodology: Fuzzy Sets; Rough Sets; Possibility Theory; Fuzzy Logic; Fuzzy Systems; Neuro-Fuzzy Systems; Interpretability of Fuzzy Systems; Representation of Vague and Imprecise Knowledge; Fuzzy Evolutionary Algorithms; Fuzzy Image Processing; Fuzzy Pattern Recognition; Fuzzy Data Fusion; Intuitionistic Fuzzy Sets; Fuzzy Approaches for High Dimensional Data Analysis.
Applications: Ambient Assisted Living; Bioinformatics; Broadcasting; Control; Communications; Information Retrieval; Intelligent Resource Management; Knowledge Management; Health; Opto-mechatronics; Recommendation and Personalization; Remote Sensing; Robotics; Semantic Web; Speech Analysis; Television; Telepresence; User profiling; Virtual Reality; Activity Analysis and Recognition; Emotional Computing; Complex Networks Analysis.
Implementations: Analog and Digital Circuits and Systems; Architectures and VLSI Hardware; Programmable Processors; Soft Grid Computing; Commercial Software.