Abstract : In this study, we developed a fuzzy rule-based inference system for diagnosing and classifying blood cancer. This system processes symptom inputs to deliver a confirmed diagnosis and stage of the disease. It computes membership functions for input and output variables, utilizing expert domain knowledge to formulate and store rules in the rule base. These rules are activated when matching symptoms are detected. The final section includes a case study demonstrating the practical application of the inference system in predicting blood cancer.
Keywords : Inference system, Fuzzy rule, Symptoms, stages, Blood cancer
Cite : Singh, A., Kumar, S., & Singh, S. (2024). Fuzzy Rule Based Model For The Prediction Of Blood Cancer (1st ed., pp. 177-183). Noble Science Press. https://doi.org/10.52458/9788197112492.nsp.2024.eb.ch-18
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