Enhanced fuzzy clustering algorithm and cluster validity index for human perception

Başkir M. B., Türkşen I. B.

Expert Systems with Applications, cilt.40, sa.3, ss.929-937, 2013 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Özet
  • Cilt numarası: 40 Sayı: 3
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.eswa.2012.05.049
  • Dergi Adı: Expert Systems with Applications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.929-937
  • Anahtar Kelimeler: α-Cut, Cluster validity index, Design alternative, Fuzzy clustering
  • Ankara Üniversitesi Adresli: Evet

Özet

In this study, we propose an enhanced fuzzy clustering algorithm related to α-cut interval descriptions of fuzzy numbers and a new cluster validity index, which occurs by α-cut intervals and adding two ad hoc functions in the compactness and separability measures. As an application, we use the enhanced fuzzy clustering algorithm and its proposed validity index to rank supplier firms of a Turkish Machinery Corporation by design alternatives. In addition, the rankings of supplier firms are determined with a proposed decision measure. © 2012 Elsevier Ltd. All rights reserved.