Exploring the Key Factors for Preventing Public Health Crises Under Incomplete Information
نویسندگان
چکیده
The spread of COVID-19 has triggered one the largest pandemics in modern human history. Humanity is still incomplete information period for this infectious disease, and how to effectively deal with such a major public crisis crucial problem. Although there are divergences natural semantics, increases it. Therefore, study integrates neutrosophic set Decision-Making Trial Evaluation Laboratory (DEMATEL) methods explore key factors which would prevent expansion epidemic face knowledge. technique an effective tool representation ambiguity semantic expression, analysis incomplete, uncertain, inconsistent information. DEMATEL used causes effects between generate influential network relationship map. results can help government relevant organizations understand cause effect appropriate prevention strategies. show that incorporation theory leads more meaningful evaluation under “Detect” factor affecting entire system. contribute advancement development scientifically based decision-making by helping governments causal relationships factors,
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ژورنال
عنوان ژورنال: International Journal of Fuzzy Systems
سال: 2021
ISSN: ['2199-3211', '1562-2479']
DOI: https://doi.org/10.1007/s40815-021-01157-z