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https://hdl.handle.net/20.500.11851/6647
Title: | Enhanced Fuzzy Clustering Algorithm and Cluster Validity Index for Human Perception | Authors: | Başkır, M. Bahar Türkşen, İsmail Burhan |
Keywords: | Fuzzy clustering Cluster validity index alpha-cut Design alternative |
Publisher: | Pergamon-Elsevier Science Ltd | Abstract: | In this study, we propose an enhanced fuzzy clustering algorithm related to a-cut interval descriptions of fuzzy numbers and a new cluster validity index, which occurs by a-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. (C) 2012 Elsevier Ltd. All rights reserved. | URI: | https://doi.org/10.1016/j.eswa.2012.05.049 https://hdl.handle.net/20.500.11851/6647 |
ISSN: | 0957-4174 1873-6793 |
Appears in Collections: | Endüstri Mühendisliği Bölümü / Department of Industrial Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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