基于软覆盖的新型粗糙集在医疗诊断多准则群决策中的应用

Z. Ergul, S. Yuksel
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引用次数: 3

摘要

本文定义了一种新的软覆盖上逼近算子,研究了它的基本性质和拓扑性质。与其他类型的软覆盖操作相比,我们的软覆盖上近似更精确,性能更优。在新型软覆盖上逼近算子的基础上,给出了一种新型的基于软覆盖的粗糙集。我们还举了一个医学上的例子它决定了患前列腺癌的风险。我们的目的是通过使用一种新的基于软覆盖的粗糙集的上下近似来获得更合理的结果,并帮助医生确定患者是否需要活检。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Type of Soft Covering Based Rough Sets Applied to Multicriteria Group Decision Making for Medical Diagnosis
In this work we define a new type of soft covering upper approximation operator and study its basic and topological properties. Comparing with other type of soft covering operation, our soft covering upper approximation is more accurate and have more properties. Based on the new type of soft covering upper approximation operator, we give a new kind of soft covering based rough sets. Also we present an example in medicine which determines the risk of prostate cancer. Our aim is to gain results more reasonable by using upper and lower approximations of a new kind of soft covering based rough sets and to help the doctor to determine that the patient needs biopsy or not.
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