ABSTRACT
The concept of single-valued neutrosophic sets (SVNSs) is considered as an attractive tool for dealing with highly ambiguous and uncertain information. The correlation coefficient of SVNSs acts as an important measure in the single-valued neutrosophic set theory and it has been applied in various fields, such as the pattern recognition, medical diagnosis, decision-making and also clustering analysis. To alleviate the weakness of the existing correlation coefficients, a novel statistical correlation coefficient is put forward to measure the degree of correlation between two SVNSs. This statistical correlation coefficient is developed based on the variance and covariance of SVNSs and its value is between −1 and 1. When solving the multicriteria decision making problems, the criteria show different weight values. To consider the weight information of multiple criteria, the weighted statistical correlation coefficient is developed for SVNSs. Afterwards, two numerical examples are given to show the effectiveness of the proposed statistical correlation coefficient in the pattern recognition, which can accurately classify unknown patterns into known patterns. Finally, the feasibility and practicability of the proposed correlation coefficient formula are illustrated by a practical multiple attribute decision making problem of traditional Chinese medicine diagnosis. The comparative results show that the proposed correlation coefficient formula is rational and effective. © 2023 the Author(s), licensee AIMS Press.
ABSTRACT
In December 2019, coronavirus disease-2019 (COVID-19) broke out in Wuhan and other places. Seven versions of the Diagnosis and Treatment Program for Coronavirus Disease-2019 successively issued by the Chinese government have designated traditional Chinese medicine (TCM) as a necessary medical strategy. Based on the changes in TCM diagnosis and treatment strategies in these seven versions of Diagnosis and Treatment Program for Coronavirus Disease-2019, this paper collected data reported by the Chinese government media; analyzed the understanding of the etiology, pathogenesis, syndrome differentiation, treatment methods, and prescriptions of COVID-19 by TCM and evaluated the clinical efficacy of TCM strategies. COVID-19 is associated with TCM disease of pestilence, and its pathogenesis can be summarized as an "epidemic pathogen invading the body, followed by entering the internal organs and transforming into heat, resulting in pathogen trapping in the interior and healthy qi collapsing, and deficiency of qi and yin". Pathological processes should be emphasized in syndrome differentiation. The manifestations of qi deficiency and yin deficiency are exhibited during the recovery period. TCM strategies represented by Qing Fei Pai Du Tang have shown apparent advantages in improving symptoms, promoting virus clearance, and shortening hospitalization, as well as surprising efficacy of zero patient progressing from mild to severe cases in a TCM cabin hospital. Clinical data illustrate the effectiveness of TCM strategies proposed by the Chinese government. This major epidemic may bring new opportunities for TCM development.