Developing a new data envelopment analysis methodology for supplier selection in the presence of both undesirable outputs and imprecise data

Developing a Data Envelopment Analysis Methodology for Supplier Selection in the Presence of Fuzzy Undesirable Factors

developing a data envelopment analysis methodology for supplier selection in the presence of fuzzy undesirable factors

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developing a data envelopment analysis methodology for supplier selection in the presence of fuzzy undesirable factors

A note on “Supplier selection by the pair of nondiscretionary factors-imprecise data envelopment analysis models”

   Recently, Farzipoor Saen [Journal of the Operational Research Society, 60(11), 1575–1582 (2009)] proposed a method based on data envelopment analysis to identify optimistic efficient suppliers in the presence of nondiscretionary factors-imprecise data. This short communication aims at showing a computational error in computing the value of preference intensity parameter in Farzipoor Saen’s [...

Data envelopment analysis for imprecise data in Buyer-Seller Relationship

In the environment of business‐to‐business e‐commerce, Buyers and sellers in mature industrial markets can turn single transactions into long-term beneficial relationships by a deeper understanding of the complex connection between the two and buyers and sellers are uncertain about their roles. A “must-do” for the sellers, in particular, is to understand patterns of investment and reward,...