1. Bas E, Grosan C, Egrioglu E, Yolcu U (2018) High order fuzzy time series method based on pi-sigma neural network. Eng Appl Artif Intell 72:350–356
2. Cai Q, Zhang D, Zheng W, Leung SCH (2015) A new fuzzy time series forecasting model combinedwith ant colony optimization and auto-regression. Knowledge-Based Syst 74:61–68
3. Cardona OD, van Aalst MK, Birkmann J, Fordham M, McGregor G, Perez R, Pulwarty RS, Schipper ELF, Singh BT (2012) Determinants of risk: exposure and vulnerability. In Managing the risks of extreme events and disasters to advance climate change adaptation. In: Field CB, Barros V, Stocker TF, Qin D, Dokken DJ, Ebi KL, Mastrandrea MD, Mach KJ, Plattner G-K, Allen SK et al (eds) A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge University Press, Cambridge, UK; New York, NY, USA, pp 65–108
4. Chaudhary MT, Piracha A (2021) Natural disasters—origins, impacts, management. Encyclopedia 1:1101–1131. https://doi.org/10.3390/encyclopedia1040084
5. Chen SM (1996) Forecasting enrollment based on fuzzy time series. Fuzzy Sets Syst 81:311–319