@inbook{156ab99de482408ba12d263dd39c2a2a,
title = "Supplier evaluation using fuzzy clustering",
abstract = "Since the suppliers have become an important determinant of a company's success, the selection and evaluation of suppliers plays a vital role in the performance of a company. Although the problem has been formulated extensively as a multi criteria decision making method in the literature, in this study we aim to use fuzzy clustering methodology to define different groups of customers based on their performances. The results of such, can be used by managers to identify similar performing suppliers and generate strategies based on these groups.",
keywords = "Cluster analysis, Fuzzy sets, Supplier evaluation, Supply chain management",
author = "Ba{\c s}ar {\"O}ztay{\c s}i and Mine I{\c s}Ik",
year = "2014",
doi = "10.1007/978-3-642-53939-8_4",
language = "English",
isbn = "9783642539381",
series = "Studies in Fuzziness and Soft Computing",
publisher = "Springer Verlag",
pages = "61--79",
booktitle = "Supply Chain Management Under Fuzziness",
address = "Germany",
}