Please use this identifier to cite or link to this item: http://hdl.handle.net/10739/899
Title: Vendor selection and uncertainty
Authors: Verma, Rakesh
Koul, Saroj
Govindan, Kannan
JGBS
NITIE, Mumbai, India
University of Southern Denmark
Keywords: vendor selection
triangular fuzzy numbers
TFN
multi-attribute decision making
MADM
fuzzy TOPSIS
uncertainty
multicriteria decision making, MCDM.
Issue Date: 2-Dec-2009
Publisher: Inderscience Publisher
Citation: International Journal of Business Performance and Supply Chain Modelling, Vol 1No 4 (2009): 333-345
Abstract: Vendor selection is of strategic importance in any industry. This paper uses fuzzy tools for vendor selection to improve decision-making through a more systematic and logical approach. Expert opinion is portrayed by allocating different fuzzy weights to the linguistic data in the form of triangular fuzzy numbers (TFN). The scores are evaluated using fuzzy arithmetic operations and the index of optimism is used to evaluate the vendors. Also, to bring inconsistency in the evaluation, results are compared with the fuzzy technique for order preference by similarity to an ideal solution (TOPSIS), another well known multicriteria decision-making (MCDM) approach affected by uncertainty. This concept, if adopted, can be used for any industry where vendor selection is based on a set criteria and linguistic judgment variables.
Description: Scopus Index
URI: http://www.inderscience.com/info/inarticle.php?artid=33749
http://hdl.handle.net/10739/899
Appears in Collections:JGU Research Publications

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