Using Monte Carlo Simulation to Ascertain a Biodiversity Funding Order

Yuanyuan Li

《International Core Journal of Engineering》 8卷3期 (2022/03) Pp. 249-255

https://doi.org/10.6919/ICJE.202203_8(3).0035

摘要

Restoring Florida's endangered plant species and managing them in the future will require a model solution. In this paper, we use the Monte Carlo Simulation model to calculate the annual minimum funding to provide the FRPCE board with a 'long-term and reliable' recommendation over time. Of course, our random analysis is limited to the 48 endangered species. The goals we comprehensively considered were the most satisfying, with the smallest amount raised each year, the largest number of 'most deserving' species funded each year, and the most satisfying program the 'Best' fund-raising program. The specific steps are to generate a 0-1random matrix of 48 rows and 10000 columns according to Feasibility of Success, that is, 100 times per random experiment simulation funding scheme ,then take the average of the 10000 trials as the minimum fund raising amount. At last we use the Monte Carlo model to simulate the funding results by MATLAB. The ＂best＂ Fund raising plan is given according to the maximum 'degree of satisfaction'. And the result shows that the stability of P test of 'degree of satisfaction' is ideal. At last, we gave the funding proposal and funding order based on the Monte Carlo Model and Grey incidence analysis, and get the priority protective order of endangered plants in Florida.

關鍵字

Grey Prediction Model ； Monte Carlo Simulation ； MATLAB Simulation Program ； Test of P Value

參考文獻

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