Medical decision-making techniques based on bipolar soft information

Vagueness Soft set Soft Computing
DOI: 10.3934/math.2023924 Publication Date: 2023-05-26T10:10:21Z
ABSTRACT
<abstract><p>Data uncertainty is a barrier in the decision-making (DM) process. The rough set (RS) theory an effective approach to study data, while bipolar soft sets (BSSs) can handle vagueness and as well bipolarity of data variety situations. In this article, we introduce idea (RBSSs) apply them find best decision two different DM problems medical science. first problem about deciding between risk factors disease. Our algorithm facilitates doctors investigate which factor becoming most prominent reason for increased rate disease area. second compositions medicine particular illness having effects side effects. We also propose algorithms both problems.</p></abstract>
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