International Journal of Advances in Computer Science and Its Applications
Author(s) : AINA MUSDHOLIFAH , RETANTYO WARDOYO, SRI MULYANA
Case Based Reasoning is widely used in conluding problems based on cases happened in the past. The conclusion is based on the similarity of the case in the case base to the problem. Some problems might occur is any uncertainty in the case or in the problem to be solved. This paper presents a computational model of uncertainty in case based reasoning. This model is implemented as a prototype for diagnosing tropical disease.