Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS
By Avinash Samvedi, Vipul Jain, Felix Tung Sun Chan. 2013
302 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/df26e775ba105c3bc8083024d7762d025a9a5a81
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In Management Information Systems
In Management Science and Operations Research
- Xin Ma
- Houssein Abdo
- Jean-Marie Flaus
- William Ho
- Alessio Ishizaka
- Ashraf Labib
- Muhammet Gul
- Edmundas Kazimieras Zavadskas
In Strategy and Management
Citations in the corpus
- The state-of-the-art integrations and applications of the analytic hierarchy process (2017, methodology): “There were 24 more methods integrated with the AHP, which were not identified in 1997-2006, such as 2TLRM, ABC, AD, ANP, Copeland, DST, Entropy, ERT, fuzzy set theory, geometric mean, GRA, K-means algorithm, Kano model, LCA, OM, PROMETHEE, QRA, RO, RST, scoring method, simulation, TOC, TOPSIS, and V”
- Uncertainty quantification in dynamic system risk assessment: a new approach with randomness and fuzzy theory (2016, background): “…relating to construction projects (Zavadskas, Turskis, and Tamošaitiene 2010; Badri, Nadeau, and Gbodossou 2012; Pinto, Ribeiro, and Nunes 2012; van der Pas et al. 2012); and supply chain risk management (Hallikas, Virolainen, and Tuominen 2002; Samvedi, Jain, and Chan 2013; Käki et al. 2015).”