Hybrid revised weighted fuzzy c-means clustering with Nelder-Mead simplex algorithm for generalized multisource Weber problem

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Kucukdeniz T., Esnaf Ş.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, vol.31, no.6, pp.908-924, 2018 (SSCI, Scopus)

• Publication Type: Article / Article
• Volume: 31 Issue: 6
• Publication Date: 2018
• Doi Number: 10.1108/jeim-01-2018-0002
• Journal Name: JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
• Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
• Page Numbers: pp.908-924
• Istanbul University-Cerrahpasa Affiliated: No

Abstract

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).