The main purpose of this research paper is to assess the prevalence, diagnosis, and management of common cattle diseases in different countries, including Jordan, Pakistan, Uganda, Korea, Bangladesh, and Europe. Our dataset includes 163 cases and 123 detailed symptoms; this research identifies patterns of symptoms with great accuracy. The accuracy of the dataset is 98%. The main diseases in cattle include digestive disorders, osteodystrophy, tick-borne diseases, and lumpy skin disease. Two types of tools were used: innovative diagnostic tools, like fuzzy logic models, and a diagnostic decision support tool (DDST). This tool performs disease detection and management. The findings demonstrate the importance of accurate diagnosis in vaccination programs and biosecurity measures in order to adequately measure economic losses and improve livestock health.