Fuzzy hierarchical TOPSIS for supplier selection

By Jia-Wen Wang, Ching-Hsue Cheng, Kun-Cheng Huang. Applied Soft Computing, 2009

573 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/40845f104b873e1d62746797687b84bbd2526ee4

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In Management of Technology and Innovation

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In Statistics and Probability

Citations in the corpus

A fuzzy multicriteria approach for evaluating environmental performance of suppliers (2010, methodology): “Application of fuzzy TOPSIS for traditional supplier selection has been investigated by researchers in recent years in Boran et al. (2009), Wang et al. (2009), Önüt et al. (2009), and Chen et al. (2006).”
Prioritizing Barriers to Green Manufacturing: Environmental, Social and Economic Perspectives (2014, methodology): “Also, fuzzy TOPSIS methodology possess advantages – easy to compute and easily understood [24].”
Sustainable supplier selection: A ranking model based on fuzzy inference system (2012, methodology): “Researches carried out in the eld of supplier selection have been applying multi-criteria deciion making methods, such as analytic hierarchy process (AHP), nalytic network process (ANP), data envelopment analysis (DEA), nd mathematical programming [1–6].”
An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management (2011, background): “In addition, the role of organizational size in the supplier selection process has been addressed by Wang, Cheng, and Cheng (2009).”
A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gear Motor Company (2013, methodology): “The concept of TOPSIS is that the most preferred alternative should not only have the shortest distance from the positive ideal solution, but should also be farthest from the negative ideal solution [17].”
Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company (2014, background): “…Ergazakis, and Askounis (2011) Manager selection Saremi, Mousavi, and Sanayei (2009) TQM consultant section Singh and Benyoucef (2011) e-Sourcing Wang, Cheng, and Huang (2009) Supplier selection Deviren et al. (2009) Weapon selection Kannan et al. (2009) Reverse logistic provider selection Liao…”
A Hierarchical Group Decision-Making Approach for New Product Selection in a Fuzzy Environment (2013, methodology): “[43] is applied to calculate the distance between each pair of fuzzy numbers.”
An assessment of exploiting renewable energy sources with concerns of policy and technology (2010, background): “They result from influential factors such as increasing demand of rapidly economic growth developing countries, unstable geopolitics, natural disasters, production, and policy matters (Komor and Bazilian, 2005; Bureau of Energy of Ministry of Economic Affairs, 2007; Wang et al., 2009a, 2009b).”
A state-of the-art survey of TOPSIS applications (2012, methodology): “…control problem Fuzzy approach, integer-nonlinear programming, and genetic algorithm Torlak, Sevkli, Sanal, and Zaim (2011) Ranking major air carriers in the Turkish domestic airline industry Fuzzy approach Wang, Cheng, and Huang (2009) Lithium ion battery protection IC supplier selection problem.”