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A Fuzzy TOPSIS Approach for Evaluating the Quality of Breast Cancer Information on the Internet

机译:一种用于评估互联网乳腺癌信息质量的模糊的Tootsis方法

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摘要

Breast cancer, a worldwide disease that typically affects women, is among the most ubiquitous types of malignant tumors and is the result of abnormal growth of breast cells. Despite heavy reliance on the internet to obtain breast cancer information, the credibility of provided information remains unclear. Inaccurate information causes detrimental consequences to the public. Evaluating the quality of online information on breast cancer is a challenge and therefore requires a rational and systematic evaluation method. This study aimed to evaluate the quality of online information on breast cancer based on fuzzy TOPSIS with the application of linguistic variables, which assists expert decision making in terms of uncertainty and subjectivity. The results can then be used to identify credible websites that can educate the public, including breast cancer patients, on breast cancer issues. Moreover, this study assists in validating the quality of online information on breast cancer. The results obtained from this study were compared to the results obtained using VIKOR, which is a beneficial tool for evaluating the quality of online information on other health issues as well.
机译:乳腺癌,一种通常影响女性的全球疾病,是最无处不染的恶性肿瘤之一,是乳腺细胞异常生长的结果。尽管对互联网依赖依赖以获得乳腺癌信息,但提供信息的可信度仍不清楚。不准确的信息导致对公众的不利影响。评估乳腺癌的在线信息的质量是一个挑战,因此需要一个理性和系统的评估方法。本研究旨在评估基于模糊顶部的乳腺癌的在线信息与语言变量的应用,这有助于专家决策在不确定性和主体性方面。然后可以使用结果来识别可以在乳腺癌问题上教育公众,包括乳腺癌患者,包括乳腺癌患者的可信网站。此外,该研究有助于验证乳腺癌的在线信息的质量。将本研究获得的结果与使用Vikor获得的结果进行了比较,这是一种有益的工具,用于评估其他健康问题的在线信息的质量。

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