A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks

By Amy Hsin-I Lee. Expert systems with applications, 2009

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A green supplier selection model for high-tech industry (2009, background): “Two triangular fuzzy numbers M1 and M2 (Lee, 2009).”
A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting (2011, methodology): “…(Chang, Hung, & Lo, 2007), and grey system theory (Huixia & Tao, 2008); MCDM and GMCDM methods such as AHP (Chamodrakas, Batis, & Martakos, 2010; Lee, 2009; Xia & Wu, 2007), ANP (Gencer & Gürpinar, 2007; Luo, Wu, Rosenberg, & Barnes, in press; Razmi, Rafiei, & Hashemi, in press), TOPSIS…”
Application of decision-making techniques in supplier selection: A systematic review of literature (2013, background): “Two similar articles by Lee (2009a), Lee (2009b) constructed an uncertain AHP decision model that utilizes the concept of benefits, opportunities, costs, and risks (BOCR).”
Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain (2012, background): “Most of the companies are trying to reduce their operating costs while satisfying customer needs by increasing their core competencies and outsourcing other functions (Lee, 2009).”
A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects (2016, methodology): “In the literature, many studies have used either fuzzy TOPSIS or fuzzyAHPmethods to select and evaluate the suppliers [14–19].”