Introduction to the Grey Systems Theory and Its Application in Mathematical Modeling and Pandemic Prediction of Covid-19

Ngo, Hoang-Anh; Hoang, Thai Nam; Di̇k, Mehmet

doi:10.1007/978-981-16-2450-6_10

Cited by 3 publications

(2 citation statements)

References 49 publications

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“…Therefore, the vast majority of actual systems are gray, which suggests that there is missing information. To overcome this issue, several different gray models have been developed [80]. At its core, grey theory and fuzzy theory are concerned with statistical analysis uncertainty.…”

Section: Fuzzy and Neural Networkmentioning

confidence: 99%

Injury Prediction in Sports using Artificial Intelligence Applications: A Brief Review

Kumar,

Reddy

et al. 2023

Journal of Robotics and Control

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Avoiding injuries in sports has always depended on historical records and human experience. This is despite using injuries being a major and unsolvable issue. The development of more precise preventative procedures using the now available approaches has been excruciatingly sluggish. The development of artificial intelligence (AI) and machine learning (ML) as potentially valuable procedures to improve damage prevention and recovery procedures has been made possible by technological advances that have made these areas more accessible. This article presents a detailed summary of ML approaches as they have been used to predict and anticipate sports injuries to this point in time. The research conducted over the last five years has been collated, and its results have been untaken. Assuming the present absence of accessible sources, standardized statistics, and a dependence on obsolete deterioration prototypes, it is impossible to draw any definitive conclusions regarding the real-world effectiveness of machine learning in terms of its application to the prediction of sports injuries. However, it has been hypothesized that resolving these two problems would make it possible to deploy innovative, strong machine-learning architectures, which will hasten the process of increasing the state of this area while also offering proven clinical tools.

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Section: Fuzzy and Neural Networkmentioning

confidence: 99%

Injury Prediction in Sports using Artificial Intelligence Applications: A Brief Review

Kumar,

Reddy

et al. 2023

Journal of Robotics and Control

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“…Grey systems were first proposed by Professor Deng in 1982 [1]. Grey systems are suitable for situations where data may be insufficient or influenced by various factors due to their minimal data sample and integrity requirements [2]. Also, with the emphasis on trends and regularities, grey systems are frequently employed for short-term forecasting of indicators, such as the employment figures in the Canadian healthcare and social assistance industry studied in this paper.…”

Section: Introductionmentioning

confidence: 99%

Recovery from the Pandemic: The Study of Fluctuations and Short-Term Forecasting in The Canadian Health System Workforce

Zhu

2024

HSET

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The healthcare industry is an area that should be meticulously planned to meet the needs of the population under any circumstances. Studying changes in the healthcare and social assistance workforce can provide direction and data support for these plans. However, at times, the factors influencing workforce changes are diverse and unpredictable. The grey system is a simple method used for handling incomplete data and conducting short-term forecasts. Its main advantages lie in its adaptability to small sample sizes and incomplete data, as well as its interpretability. Nearly all businesses were significantly impacted by the COVID-19 epidemic in 2020, but the healthcare industry was particularly heavily afflicted. By establishing a grey forecasting model based on data of the healthcare and social assistance industry workforce in Canada, this study aimed to simulate trends and predict future values of the industry’s labour force. The results indicate that the data has consistently grown at a relatively constant rate in the decade, with noticeable fluctuations in growth rate occurring during the COVID-19 pandemic. However, after 2021, the growth rate gradually returned to pre-pandemic levels.

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State of the Art in Grey Systems Research in Economics and Social Sciences

Delcea¹,

Cotfas²

2023

Series on Grey System

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Introduction to the Grey Systems Theory and Its Application in Mathematical Modeling and Pandemic Prediction of Covid-19

Cited by 3 publications

References 49 publications

Injury Prediction in Sports using Artificial Intelligence Applications: A Brief Review

Injury Prediction in Sports using Artificial Intelligence Applications: A Brief Review

Recovery from the Pandemic: The Study of Fluctuations and Short-Term Forecasting in The Canadian Health System Workforce

State of the Art in Grey Systems Research in Economics and Social Sciences

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