Title :
An uncertainty analysis of supplier selection by fuzzy logic
Author :
M. Bahar Başkir;I. Burhan Türkşen
Author_Institution :
Department of Statistics, Ankara University Faculty of Science, Ankara, 06100 Turkey
Abstract :
Organizations have to be competitive in their market throughout the globalization process. Thus, they need to achieve customer demands in strategic ways focusing on customer satisfaction. At this point, decision makers encounter with uncertainties based on reducing the deviation in the production/service processes. The uncertainty problem of supplier selection for a Turkish Machinery Industry Corporation will be discussed in this paper. The uncertainty due to the subjective assessment used in supplier selection will be modeled by fuzzy logic. The structure identification of supplier selection system will be modeled with fuzzy functions. Comparisons of fuzzy functions and membership functions based on uncertainty problem of supplier selection system will be discussed.
Keywords :
"Uncertainty","Classification algorithms","Clustering algorithms","Indexes","Pragmatics","Fuzzy logic","Fuzzy sets"
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Print_ISBN :
978-1-4244-6919-2
DOI :
10.1109/FUZZY.2010.5584731