Abstract
Examination techniques of modern high-resolution color Doppler are able to detect the suspected cancerous lesions of thyroid nodules of less than 10 mm at an early stage. At this time, the biggest concern of the patient is whether the suspected lesion will become cancerous. To prevent cancerization, how should the patient choose possible treatment options? Most of the patient’s decision-making information comes from the doctors, and the initial diagnostic information given by the doctors may be indecisive, vague and a probability range, or even a diagnosis opposite to the truth. In this paper, a multi-attribute decision-making method based on the hesitant fuzzy linguistic term, interval probability and prospect theory is constructed to help patients make decisions in the form of linguistic evaluation terms and interval probability. Finally, the effectiveness of the method is illustrated by a case analysis.
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