Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
383140 | Expert Systems with Applications | 2013 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
M. Bahar Başkır, I. Burhan Türkşen,