Pattern Recognition

Theories and methods to design algorithms able to synthesize models that can recognize patterns in noisy data or complex environments, starting from sample data and/or predefined expert knowledge.

• Clustering algorithms 

• Classification systems 

• Unsupervised modeling systems 

• Feature extraction and feature selection techniques

Granular Computing

Granular computing (GrC) is an emerging computing paradigm of information processing that concerns the processing of complex information entities called "information granules", which arise in the process of data abstraction and derivation of knowledge from information or data. Generally speaking, information granules are collections of entities that usually originate at the numeric level and are arranged together due to their similarity, functional or physical adjacency, indistinguishability, coherency, or the like. Fort our research GrC is not only an algorithmic paradigm but also a way of multidimensional and systemic thinking for synthesizing intelligent procedures and models in complex systems.