Fuzzy inference systems: an integrated modelling environment for collaboration between expert knowledge and data using Fispro

S. Guillaume (1) , Brigitte Charnomordic (2)

1 UMR ITAP - Information – Technologies – Analyse Environnementale – Procédés Agricoles
2 MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie

The present paper aims to demonstrate the interest of fuzzy inference systems in system modeling when human interaction is important. It discusses the originality of FIS and their capability to integrate exper-tise and rule learning from data into a single framework, analyzing their place relatively to concurrent approaches. An open source software implementation is presented, with a focus on the useful features for modeling. Two real world case studies are presented to illustrate the approach and the software utility.

Keywords: OPEN ARCHIVES; COOPERATION; LEARNING

Keywords: ARCHIVES OUVERTES; REPRESENTATION DES CONNAISSANCES; APPRENTISSAGE; LOGIQUE FLOUE

Domains: Environmental Sciences

S. Guillaume, Brigitte Charnomordic. Fuzzy inference systems: an integrated modelling environment for collaboration between expert knowledge and data using Fispro. Expert Systems with Applications, 2012, 39 (10), pp.8744-8755. ⟨10.1016/j.eswa.2012.01.206⟩. ⟨hal-01152831⟩