A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach
By Ming-Lang Tseng. Expert systems with applications, 2009
443 citations recorded by the source corpus.
Subfields: Management of Technology and Innovation, Management Science and Operations Research, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/5bd1a3d90440b82b6dbf52e373ae7c277da673db
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In Management of Technology and Innovation
In Management Science and Operations Research
In Organizational Behavior and Human Resource Management
Citations in the corpus
- Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, unknown): “In this category, there were some specific areas of management and business, including quality management (Amirzadeh & Shoorvarzy, 2013; Benítez, Martín, & Román, 2007; M.-L. Tseng, 2009b), strategy management issues (Fouladgar, Yazdani-Chamzini, Lashgari, Zavadskas, & Turskis, 2012; Liou, Tzeng, Ts”
- DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications (2018, methodology): “Additionally, Tseng [196] proposed a grey-fuzzy DEMATEL approach based on a grey possibility degree to deal with real estate agent service quality expectation ranking with uncertainty.”
- Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain (2015, unknown): “In literature, the DEMATEL approach was successfully utilized in many areas like hotel service quality, supplier selection, e-learning evaluation, and cause analysis to solve complicated problems (Abdullah & Zulkifli, 2015; Altuntas & Dereli, 2015; Bai & Sarkis, 2013; Chang et al., 2011; Govindan, K”
- Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective (2020, background): “Grey Theory accounts for inappropriate or inaccurate human judgments and can be successfully incorporated into any decision-making process to improve the accuracy of judgments (Tseng, 2009).”