Solving Uncapacitated Planar Multi-facility Location Problems by a Revised Weighted Fuzzy c-means Clustering Algorithm

Esnaf S., Kucukdeniz T.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, cilt.21, ss.147-164, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21
  • Basım Tarihi: 2013
  • Dergi Adı: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.147-164
  • İstanbul Üniversitesi Adresli: Evet

Özet

In this study, a revised weighted fuzzy c-means algorithm is proposed for uncapacitated planar multi-facility location problems. It eliminates the obligation to sequentially use different methods such as classical fuzzy c-means algorithm, combination of fuzzy c-means and center of gravity, and particle swarm optimization algorithm. Performance of the proposed algorithm for uncapacitated planar multi-facility location problem is tested on well-known research data sets. This new algorithm is compared with the methods including fuzzy c-means, fuzzy c-means based center of gravity and particle swarm optimization. Results indicate that the proposed revised weighted fuzzy c-means algorithm based method is superior in terms of cost minimization and CPU time.