Hybrid revised weighted fuzzy c-means clustering with Nelder-Mead simplex algorithm for generalized multisource Weber problem
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, cilt.31, sa.6, ss.908-924, 2018 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 31 Sayı: 6
- Basım Tarihi: 2018
- Doi Numarası: 10.1108/jeim-01-2018-0002
- Dergi Adı: JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus
- Sayfa Sayıları: ss.908-924
- İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır
Özet
Purpose The purpose of this paper is to propose hybrid revised weighted fuzzy c-means (RWFCM) clustering and Nelder-Mead (NM) simplex algorithm, called as RWFCM-NM, for generalized multisource Weber problem (MWP).