Enhanced fuzzy clustering algorithm and cluster validity index for human perception

Başkir M. B., Türkşen I. B.

Expert Systems with Applications, vol.40, no.3, pp.929-937, 2013 (SCI-Expanded) identifier

  • Publication Type: Article / Abstract
  • Volume: 40 Issue: 3
  • Publication Date: 2013
  • Doi Number: 10.1016/j.eswa.2012.05.049
  • Journal Name: Expert Systems with Applications
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.929-937
  • Keywords: α-Cut, Cluster validity index, Design alternative, Fuzzy clustering
  • Ankara University Affiliated: Yes

Abstract

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.