AI Classification in Collaboration for Innovation of Electric Motors of Household Appliances - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2020

AI Classification in Collaboration for Innovation of Electric Motors of Household Appliances

Asuman Firat
  • Fonction : Auteur
  • PersonId : 1120221
Gulgun Kayakutlu
  • Fonction : Auteur
  • PersonId : 1120222

Résumé

Electric motors are important components of household appliance that effects the energy efficiency and noise level with a social impact. Considering the evolution period of electric motors in household appliances, innovation can be seen at the end of each life cycle of motor technology for every single product. Therefore, it can be stated that electric motors are open for innovation. There are several ways for innovation. Collaboration is one of them. Recently, improvement in sharing economies also resulted with knowledge sharing due to shortage of resources. In order to achieve efficiency with limited sources collaboration is essential. However, collaborating partner is very important to get successful results. Unfortunately there are lots of examples that collaboration ends up without any beneficial. As a result of evaluation of previous studies and experiences, expert knowledge is established. Classification method based on expert knowledge is chosen to give the decision of collaboration for each candidate corporation. Artificial intelligence is used for this critical decision making.
Fichier principal
Vignette du fichier
502022_1_En_9_Chapter.pdf (1.07 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03478005 , version 1 (13-12-2021)

Licence

Identifiants

Citer

Asuman Firat, Gulgun Kayakutlu. AI Classification in Collaboration for Innovation of Electric Motors of Household Appliances. 6th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2018, Stockholm, Sweden. pp.107-123, ⟨10.1007/978-3-030-52903-1_9⟩. ⟨hal-03478005⟩
42 Consultations
44 Téléchargements

Altmetric

Partager

More