A grey-based decision-making approach to the supplier selection problem
By GuoDong Li, D. Yamaguchi, M. Nagai. Mathematical and computer modelling, 2007
458 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/51548c0435a05eb92d4901449e4c352dea071ed8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Francisco Herrera
- Luis Martínez-López
- Edmundas Kazimieras Zavadskas
- Zenonas Turskis
- Enrique Herrera-Viedma
- Da Ruan
- Zeshui Xu
- Jolanta Tamosaitiene
In Statistics and Probability
- Luis Martínez-López
- Da Ruan
- Edmundas Kazimieras Zavadskas
- Madjid Tavana
- Francisco Herrera
- Amir Karimi
- Seyed Hamid Hashemi
- Zenonas Turskis
Citations in the corpus
- Computing with Words in Decision support Systems: An overview on Models and Applications (2010, background): “Xu stated that, “in general, the decision maker uses the original linguistic terms to evaluate alternatives, and the virtual linguistic terms only appear in operation” .”
- Risk assessment of construction projects (2010, background): “Working team must analyse the business activities of all alliance members and identify various risk factors in business activities and their characters (Gunstone 2003; Li and Liao 2007; Li et al. 2007).”
- Computing with words in decision making: foundations, trends and prospects (2009, unknown): “[65] 2007”
- High Technology ETF Forecasting: Application of Grey Relational Analysis and Artificial Neural Networks (2013, background): “Feng and Wang, 2000; Kung and Wen, 2007), marketing research (Li et al., 2007)], credit risk analysis [(e.”
- An integrated green supplier selection approach with analytic network process and improved Grey relational analysis (2015, methodology): “Grey theory is a decision-making approach under conditions of uncertainty, and has been found to be superior to comparable methods in the mathematical analysis of systems with incomplete information (Li et al., 2007).”