Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies

By O. Taylan, Abdallah O. Bafail, Reda M. S. Abdulaal, M. Kabli. Applied Soft Computing, 2014

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Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting (2016, background): “…(PROMETHEE) (e.g., Behzadian et al., 2010; Vetschera and Teixeirade Almeida, 2012) and the order of preference by similarity to an ideal solution (TOPSIS) (e.g., Hwang and Yoon, 1981; Hwang and Lin, 1987; Taylan et al., 2014; Yurdakul and Ic, 2005), which is the focus of much of this study.”
Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops (2018, methodology): “Therefore, the integration of fuzzy set theory with traditional AHP, which employs the principles of decomposition; pair-wise comparisons; priority vector aggregation and synthesis (Taylan et al., 2014; Prakash and Barua, 2015) is vital in dealing with sources of uncertainty.”
A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions (2018, background): “It is mostly used with FAHP (Taylan et al. 2014; Gul and Guneri 2016; Akyildiz and Mentes 2017).”