Risk Assessment for Breast Cancer with Integrated Group Decision-Making Method

Abstract

The most prevalent invasive malignancy in women is breast cancer. The second most common cause of cancer deaths in women, behind lung cancer, is breast cancer. It begins with developing a tiny tumor or mass and spreads from breast cells, primarily in the milk ducts (ductal carcinoma) or glands (lobular carcinoma). Every woman needs to be aware of her risk of developing breast cancer to be proactive about risk reduction measures and for better care of the disease, even though the causes of breast cancer are not fully known. Numerous variables that can either raise or decrease the likelihood of acquiring breast cancer have been identified by independent investigations. By looking at these risk factors, it is feasible to determine a woman's estimated risk of acquiring a malignant breast illness. Fermatean fuzzy sets can adequately describe the uncertain data for determining breast cancer risk. The cumulative prospect theory is used to build the traditional Tomada de Decisão Iterativa Multicritério (TODIM) approach, which can be used to reflect the psychological behavior of the decision-maker. The Fermatean fuzzy cumulative prospect theory-TODIM approach is proposed in this paper to handle the problem of group decision-making. Using the entropy weight method with Fermatean fuzzy sets to obtain attribute weight information simultaneously improves rationality. This article applies the mentioned method to the risk assessment of breast cancer. It illustrates the risk assessment model based on the proposed method, concentrating on hot topics in contemporary culture.

Keywords

• Breast cancer
• Fermatean fuzzy environment
• cumulative prospect theory
• TODIM
• group decision-making

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