TY  - JOUR
AB  - 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).Design/methodology/approach Although the RWFCM claims that there is no obligation to sequentially use different methods together, NM’s local search advantage is investigated and performance of the proposed hybrid algorithm for generalized MWP is tested on well-known research data sets.Findings Test results state the outstanding performance of new hybrid RWFCM and NM simplex algorithm in terms of cost minimization and CPU times.Originality/value Proposed approach achieves better results in continuous facility location problems.
VL  - 31
IS  - 6
SN  - 1741-0398
DO  - 10.1108/JEIM-01-2018-0002
UR  - https://doi.org/10.1108/JEIM-01-2018-0002
AU  - Kucukdeniz Tarik
AU  - Esnaf Sakir
PY  - 2018
Y1  - 2018/01/01
TI  - Hybrid revised weighted fuzzy c-means clustering with Nelder-Mead simplex algorithm for generalized multisource Weber problem
T2  - Journal of Enterprise Information Management
PB  - Emerald Publishing Limited
SP  - 908
EP  - 924
Y2  - 2024/05/05
ER  -