An Application of Fuzzy Analytic Hierarchy Process in Risk Evaluation Model

Autor: Geng Peng, Lu Han, Zeyan Liu, Yanyang Guo, Junai Yan, Xinyu Jia
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Frontiers in Psychology, Vol 12 (2021)
Druh dokumentu: article
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2021.715003
Popis: Conflicts in land exploration are incisive social problems which have been the subject in many studies. Risk assessment of land conflicts is effective to resolve such problems. Specifically, fuzzy mathematics and the analytic hierarchy process were combined together to evaluate risk in land conflicts in our work, which is proved useful to solve uncertainty and imprecision problems. Based on the analysis of the principles for the risk assessment of a land conflicts index system, a set of risk assessment indexes using the fuzzy analytic hierarchy process (FAHP) was presented. The results show that the overall risk is at medium level, and the risk of the feasibility index and controllability index need to be paid more attention to. The contribution of this article is reflected in two aspects: (1) the application of FAHP in risk assessments of land conflicts is effective and valid; (2) it is helpful for governments to establish a stricter management system of work safety for conflicts in land exploration based on the risk assessment results.
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