Some Similarity Measures of Neutrosophic Sets Based on the Euclidean Distance and Their Application in Medical Diagnosis

Table 3

The relation between the diagnosis and the symptom for IVNS decision information.

	<[0.4, 0.4], [0.6, 0.6], [0.0, 0.0]>	<[0.3, 0.3], [0.2, 0.2], [0.5, 0.5]>	<[0.1, 0.1], [0.3, 0.3], [0.7, 0.7]>	<[0.4, 0.4], [0.3, 0.3], [0.3, 0.3]>	<[0.1, 0.1], [0.2, 0.2], [0.7, 0.7]>
	<[0.7, 0.7], [0.3, 0.3], [0.0, 0.0]>	<[0.2, 0.2], [0.2, 0.2], [0.6, 0.6]>	<[0.0, 0.0], [0.1, 0.1], [0.9, 0.9]>	<[0.7, 0.7], [0.3, 0.3], [0.0, 0.0]>	<[0.1, 0.1], [0.1, 0.1], [0.8, 0.8]>
	<[0.3, 0.3], [0.4, 0.4], [0.3, 0.3]>	<[0.6, 0.6], [0.3, 0.3], [0.1, 0.1]>	<[0.2, 0.2], [0.1, 0.1], [0.7, 0.7]>	<[0.2, 0.2], [0.2, 0.2], [0.6, 0.6]>	<[0.1, 0.1], [0.0, 0.0], [0.9, 0.9]>
	<[0.1, 0.1], [0.2, 0.2], [0.7, 0.7]>	<[0.2, 0.2], [0.4, 0.4], [0.4, 0.4]>	<[0.8, 0.8], [0.2, 0.2], [0.0, 0.0]>	<[0.2, 0.2], [0.1, 0.1], [0.7, 0.7]>	<[0.2, 0.2], [0.1, 0.1], [0.7, 0.7]>
	<[0.1, 0.1], [0.1, 0.1], [0.8, 0.8]>	<[0.0, 0.0], [0.2, 0.2], [0.8, 0.8]>	<[0.2, 0.2], [0.0, 0.0], [0.8, 0.8]>	<[0.2, 0.2], [0.0, 0.0], [0.8, 0.8]>	<[0.8, 0.8], [0.1, 0.1], [0.1, 0.1]>

We can calculate the similarity measures and , and the diagnosis of the patient can be classified by .