Case-based Reasoning with Input Text Processing to Diagnose Mood [Affective] Disorders
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2015, Vol 4, Issue 9
Abstract
Case-Based Reasoning is one of the methods used in expert systems. Calculation of similarity degree among the cases has always been an important aspect in CBR as the system will attempt to identify cases with the highest of similarity degree in a case-base to provide solutions for new problems. In this research, a CBR model with input text processing for diagnosing mood [affective] disorder is developed. It correlates with the increased tendency of mood disorder in accordance with the dynamics of the economic and political situation. Calculation of similarity degree among the cases is one of the main focuses in this research. This study proposed a new method to calculate similarity degree between cases, Modified-Tversky. The analysis performed to assess the method used in measuring case similarity reveals that the Modified-Tversky Method surpasses the other methods. In the all tests conducted, the results of case similarity measures using the Modified-Tversky method is greater than or equal to the calculations performed using the Jaccard dan Tversky methods. The test results also provide an average level of performance in processing text input is 89.3 %.
Authors and Affiliations
Sri Mulyana, Retantyo Wardoyo, Edi Winarko
Keywords
Related Articles
- EP ID EP111679
- DOI 10.14569/IJARAI.2015.040901
- Views 104
- Downloads 0
A Heuristic Approach for Minimum Set Cover Problem
The Minimum Set Cover Problem has many prac-tical applications in various research areas. This problem belongs to the class of NP-hard theoretical problems. Several approxima-tion algorithms have been proposed to f...
A New Genetic Algorithm Based Lane-By-Pass Approach for Smooth Traffic Flow on Road Networks
Traffic congestion in urban areas is a very critical problem and increasing day-by-day due to increment in number of vehicles and un-expandable traffic infrastructure. Several intelligent control systems have been...
A Rank Aggregation Algorithm for Ensemble of Multiple Feature Selection Techniques in Credit Risk Evaluation
In credit risk evaluation the accuracy of a classifier is very significant for classifying the high-risk loan applicants correctly. Feature selection is one way of improving the accuracy of a classifier. It provide...
Vibration Control of MR Damper Landing Gear
In the field of Automation, Fuzzy Control Fuzzy control has significant merits which are utilized in intelligent controllers, especially for vibration control systems. This paper is concerned with the application a...
Contradiction Resolution of Competitive and Input Neurons to Improve Prediction and Visualization Performance
In this paper, we propose a new type of informationtheoretic method to resolve the contradiction observed in competitive and input neurons. For competitive neurons, contradiction between self-evaluation (individuality) a...