Multi-level Fuzzy Rules-Based Analysis of Virtual Team Performance - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

Multi-level Fuzzy Rules-Based Analysis of Virtual Team Performance

Dalia Kriksciuniene
  • Fonction : Auteur
  • PersonId : 1012513
Sandra Strigunaite
  • Fonction : Auteur
  • PersonId : 1012514

Résumé

The article presents model for evaluation of virtual team performance based on the intelligent methods of Multi-level fuzzy rules and Fuzzy Signature. The hierarchical system of parameters for virtual team performance evaluation is elaborated by applying expert survey. The aggregated measure of performance of virtual project team is derived from twelve parameters assigned to three categories (team, task and interaction). The experimental research is based on fuzzy analysis of interaction data of virtual teams which worked on implementation of three software solution projects. The research results provide evidence for the feasibility of using the proposed method as the tool for virtual project managers seeking to improve their leadership techniques, and to derive parameters for performance evaluation based on intelligent computing methods.
Fichier principal
Vignette du fichier
978-3-642-27260-8_25_Chapter.pdf (277.82 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01560846 , version 1 (12-07-2017)

Licence

Paternité

Identifiants

Citer

Dalia Kriksciuniene, Sandra Strigunaite. Multi-level Fuzzy Rules-Based Analysis of Virtual Team Performance. 11th Conference on e-Business, e-Services, and e-Society (I3E), Oct 2011, Kaunas, Lithuania. pp.305-318, ⟨10.1007/978-3-642-27260-8_25⟩. ⟨hal-01560846⟩
178 Consultations
37 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More