Prediction and Allocation of EDP Based on Gray Model and Fuzzy Comprehensive Evaluation | Zendy

Jin-He Zhou | Zendy; Anlai Wang | Zendy; Xiangyuan Su | Zendy; Caiya Zhang | Zendy; Xusheng Kang | Zendy

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Prediction and Allocation of EDP Based on Gray Model and Fuzzy Comprehensive Evaluation

Author(s) -

Jin-He Zhou,

Anlai Wang,

Xiangyuan Su,

Caiya Zhang,

Xusheng Kang

Publication year - 2021

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2021/9915583

Subject(s) - gray (unit) , fuzzy logic , entropy (arrow of time) , selection (genetic algorithm) , operations research , computer science , data mining , engineering , artificial intelligence , medicine , physics , quantum mechanics , radiology

Global warming is accelerating the sea level to rise, which increases the risk of major coastal areas being submerged. Then, the residents may become environmentally displaced persons (EDP). A method of prediction and allocation of EDP is proposed in this paper. Firstly, the gray model is used to predict sea level and the amount of EDP. Then, the evaluation criterion for the responsibility ability of the EDP migration target countries is given based on the entropy and fuzzy comprehensive evaluation method. In addition, a two-way selection mechanism for EDP is constructed. Finally, the amounts of EDP for the next 10 years are predicted, and the allocation plan in 2030 is made by applying the proposed method.

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