The use of grey relational analysis in solving multiple attribute decision-making problems
By Yiyo Kuo, Taho Yang, Guan-Wei Huang. Computers & industrial engineering, 2008
1,064 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/81c12e725985603abddbc70d58a63aacee2f9b33
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Edmundas Kazimieras Zavadskas
- Zenonas Turskis
- Jolanta Tamosaitiene
- Peng Wang
- Zhou-Quan Zhu
- Yong-Hu Wang
In Management Science and Operations Research
- Zenonas Turskis
- Edmundas Kazimieras Zavadskas
- Jolanta Tamosaitiene
- Madjid Tavana
- Amir Karimi
- Seyed Hamid Hashemi
- Peng Wang
- Zhou-Quan Zhu
Citations in the corpus
- An integrated green supplier selection approach with analytic network process and improved Grey relational analysis (2015, background): “Since the traditional GRA addresses uncertainty by considering deterministic numbers (Kuo et al., 2008; Lee and Lin, 2011; Tseng, 2010), an improved GRA with the ability to address interval numbers is presented in this paper.”
- Risk assessment of construction projects (2010, methodology): “(1) The use of grey relational analysis in solving multiple attribute decision-making problems is analysed by Kuo et al. (2008) and Cakir (2008).”
- A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016, methodology): “[24] applied the GRA method to the facility layout design selection problem and 309 compared the results of TOPSIS, SAW and DEA.”