Separation of linguistic information methodology in a fuzzy model
Paulo Salgado, Paulo Afonso, J. Aguilar Castro · 2002
A new methodology for organising the information in different structures was developed: the Separation of Linguistic Information Methodology (SLIM). The concept of relevance, which is in its genesis, was recently proposed, enabling the measurement of the relative importance of rule sets. Based on this methodology, a new algorithm was proposed for the Parallel Collaborative Structure (PCS). As demonstrated in the experimental tests, this new approach may benefit from the capability of recognised fuzzy systems to deal with natural language and model uncertainties. In addition, the proposed SLIM-PCS algorithm has been successfully applied to the modelling of a pilot plant reactor.