六边形模糊矩阵在医学诊断中的应用

V. Tharakeswari, M. Kameswari, T. Rishi, M. Seenivasan
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引用次数: 0

摘要

在医学领域,模糊集分析是必不可少的。在各种模型中使用模糊矩阵来解决医学诊断中各种具有挑战性的元素。在医学诊断模型中使用模糊矩阵来表示症状与疾病之间的关系。不确定集合论最重要和最迅速发展的应用领域。通过使用模糊六边形矩阵获得的医疗记录和模糊数据的类型。在本研究中,定义了模糊矩阵,并设计了一种医疗诊断和治疗阶段的算法。模糊隶属矩阵用于构建患者和药物信息。建议的算法被用来定位患有疾病的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hexagonal fuzzy matrix application in medical diagnosis
In the field of medicine, fuzzy set analysis is essential. Fuzzy matrices are used in a variety of models to address various challenging elements of medical diagnosis. Fuzzy matrices were used in the diagnostic modelsusing to show the relationship between symptoms and diseases in medicine. The most significant and rapidly expanding field of uses of uncertain set theory. The type of medical records and ambiguous data acquired through the usage of a fuzzy hexagonalmatrix. In this research, fuzzy matrices are defined, and an algorithm for medical diagnostic and treatment phases is devised. A fuzzy membership matrix is used to construct patient and drug information. The suggested algorithms are used to locate patients who have a disease.
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