A Bipolar Fuzzy Credibility Decision-Making Technique for Evaluating Pregnant Women With Extremely Risky Comorbid Diabetes

Year 2026, Volume: 9 Issue: 1 , 31 - 42 , 30.03.2026

Zarife Zararsız , Nagarajan Deivanayagam Pillai

https://doi.org/10.33401/fujma.1815409

https://izlik.org/JA27UM42HL

Abstract

Diabetes during pregnancy is an important problem for both women's health and newborn health due to its lifelong effects starting from the womb and requires careful monitoring with a multidisciplinary approach. Although the risks continue after birth, problems that can extend into childhood, especially newborn respiratory diseases, jaundice, hypoglycemia and hypocalcemia, can be seen. This work proposes  decision making system (DMS) that uses bipolar fuzzy credibility numbers (BFCN), multicriteria decision making (MDM) and TOPSIS procedures (techniques) to handle this problem. Pregnant women's risk of diabetes will be evaluated using this method. The importance and necessity of the BFCN in the issue of uncertain decision-making are demonstrated by the degree of credibility of the vague assessment measure. The uncertain judgment measures should be closely linked to their credibility measures in order to increase the degrees of credibility and the credibility levels of vague assessment standards. This will increase the accessibility and reliability of evaluation data.  Namely, in the work, the factors that trigger diabetes during pregnancy in women were investigated, the symptoms that manifested these factors were determined and the risks and effects of this condition on maternal and fetal health were examined. Additionally, a ranking model and comparison are given for BFCNs in the last section via score and accuracy matrices.

Keywords

Bipolar fuzzy credibility number , TOPSIS method , Ranking model , Comorbid diabetes

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