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Decision Making in Medical Diagnosis via Distance Measures on Interval Valued Fuzzy Sets

机译:通过距离措施对间隔有价值模糊集的决策

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摘要

The uncertain and sometimes vague, imprecise nature of medical documentation and information make the field of medical diagnosis is the most important and interesting area for applications of fuzzy set theory (FST), intuitionistic fuzzy set (IFS) and interval valued fuzzy set (IVFS). In this present study, first resemblance between IFS and IVFS has been established along with reviewed some existing distance measures for IFSs. Later, an attempt has been made to derive distance measures for IVFSs from IFSs and establish some properties on distance measures of IVFSs. Finally, medical diagnosis has been carried out and exhibits the techniques with a case study under this setting.
机译:医学文件和信息的不确定性质,使得医学诊断领域是模糊集理论(FST),直觉模糊集(IFS)和间隔有价值的模糊集(IVFS)的应用领域是最重要而有趣的区域 。 在本研究中,建立了IFS和IVFS之间的首先相似,并与IFSS的一些现有距离措施进行了建立。 后来,已经尝试从IFSS中导出IVFSS的距离措施,并在IVFSS的距离测量上建立一些属性。 最后,已经进行了医学诊断,并在此设置下具有案例研究的技术。

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