CAT DISEASE DIAGNOSIS WITH EXPERT SYSTEM USING CERTAINTY FACTOR METHOD

Abstract

Abstract:  The diagnosis of cat diseases through expert systems using the Certainty Factor method involves the application of advanced computational techniques in veterinary medicine. This research focuses on developing a system that employs the Certainty Factor method for diagnosing cat diseases efficiently. The Certainty Factor method is utilized to handle uncertainty in the diagnostic process, providing a more accurate and reliable outcome. The system is designed to analyze various symptoms exhibited by cats and assess the likelihood of different diseases based on the available information. By incorporating a Certainty Factor, the system can account for the degree of certainty in the diagnosis, enhancing the overall reliability of the results. The outcomes of this study indicate that the Certainty Factor method significantly improves the accuracy of cat disease diagnosis within the expert system framework. This research contributes to the advancement of veterinary diagnostic tools and provides a foundation for the development of intelligent systems to support feline healthcare professionals.

Keywords: Cat Diseases, Expert System, Certainty Factor, Intelligent Systems.