Fuzzy inference systems: An integrated modeling environment for collaboration between expert knowledge and data using FisPro
| Autor: | Serge Guillaume, Brigitte Charnomordic |
|---|---|
| Přispěvatelé: | Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA) |
| Rok vydání: | 2012 |
| Předmět: |
Fuzzy inference
OPEN ARCHIVES Computer science 020209 energy 02 engineering and technology LOGIQUE FLOUE LEARNING Machine learning computer.software_genre APPRENTISSAGE Software Artificial Intelligence 0202 electrical engineering electronic engineering information engineering REPRESENTATION DES CONNAISSANCES COOPERATION Focus (computing) business.industry General Engineering Systems modeling ARCHIVES OUVERTES Computer Science Applications [SDE]Environmental Sciences 020201 artificial intelligence & image processing Artificial intelligence business computer |
| Zdroj: | Expert Systems with Applications Expert Systems with Applications, Elsevier, 2012, 39, pp.8744-8755. ⟨10.1016/j.eswa.2012.01.206⟩ Expert Systems with Applications, Elsevier, 2012, 39 (10), pp.8744-8755. ⟨10.1016/j.eswa.2012.01.206⟩ |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2012.01.206 |
| Popis: | Highlights? We show how fuzzy inference systems can be used in system modelling when human interaction is important. ? FIS are able to integrate expertise and rule learning from data into a single framework. ? An open source software is presented. ? Two real world case studies illustrate the approach and the software utility. 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 expertise 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. |
| Databáze: | OpenAIRE |
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