@inbook{27d0d2f2c41843abbb398028063a20ae,
title = "Facility location selection in reverse logistics using a type-2 fuzzy decision aid method",
abstract = "Location selection for the process of moving goods from their final destination to ensure proper value creation is a multi-faceted issue which requires consideration of social, economic, environmental and technical factors. The fuzzy sets theory is a good tool for dealing with complex and subjective problems which make use of implicit human judgments. Type-2 fuzzy sets provide more degrees of freedom to reflect the uncertainty and the ambiguity of real cases. The aim of this study is to suggest a multi criteria approach for the selection of the most appropriate reverse logistics facility location using a type-2 fuzzy TOPSIS methodology. Using proposed methodology, a case study from an e-waste recycling industry is conducted. In the evaluations, criteria like social acceptability, environmental risks, biodiversity conservation, operation and investment costs, energy and transportation infrastructure, legal/political environment, and growth potentials of the region are considered.",
keywords = "Facility location selection, Multi criteria, Reverse logistics, TOPSIS, Type-2 fuzzy sets",
author = "Temur, {G{\"u}l Tekin} and Tolga Kaya and Cengiz Kahraman",
year = "2014",
doi = "10.1007/978-3-642-53939-8_25",
language = "English",
isbn = "9783642539381",
series = "Studies in Fuzziness and Soft Computing",
publisher = "Springer Verlag",
pages = "591--606",
booktitle = "Supply Chain Management Under Fuzziness",
address = "Germany",
}
