Abstract
One of the reasoning methods in expert system is Case-Based Reasoning (CBR). A problem is searching for past cases in the case base with thehighest similarity degree. This implies that calculation of similarity degree among the cases is an important aspect in CBR. In this study, an application of computer reasoning system based on CBR is developed for selecting study program in Senior High School (SHS). This aplication can be used to assist students for selecting study program. The cases used in the study include results of the intelligence test, student's interest, and grades of several subjects.Each case in the case base will be calculated for the similarity degree with new cases entered. Furthermore, it is the cases with highest similarity degree that are recommended as solutions. Keywords—Case Based Reasoning; Case retrieval; similarity degree; new cases; recommended solutions;selecting study program I. INTRODUCTION Case-Based Reasoning (CBR) is a method adopted from knowledge-based system in many domains. CBR uses experiences from previous similar cases to solve new problems. The basic idea of CBR is an assumption that similar problems have the similar solutions. CBR consists of four basic steps, namely:
Highlights
Case-Based Reasoning (CBR) is a method adopted from knowledge-based system in many domains
It is the cases with highest similarity degree that are recommended as solutions
The result was obtained by calculating the similarity degree between case input and all the cases in the case base
Summary
Case-Based Reasoning (CBR) is a method adopted from knowledge-based system in many domains. CBR uses experiences from previous similar cases to solve new problems. The retrieval of similar case with similarity to new cases is an important step of the whole decision making process [2]. Retrieval approach is based on surface features and the similarity of each case with the targeted problem is usually represented as real number in the interval (0,1), which is calculated according to the given similarity measure. It is the cases with highest similarity degree that are recommended as solutions
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