Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 42, Pages: 1-8
Mazin Abed Mohammed1*, BelalAl-Khateeb2 and Dheyaa Ahmed Ibrahim2
1Planning and Follow Up Department,University Headquarter, University of Anbar, 2Computer Science Department, College of Computer Science and Information Technology, University of Anbar Anbar, Iraq; [email protected],[email protected],[email protected]
*Author for correspondence
Mazin Abed Mohammed
Planning and Follow Up Department,University Headquarter, University of Anbar,
Email: [email protected]
Background/Objectives: This paper presents Case-Based Reasoning (CBR) shell framework as a decision support tool for a general category problems concerning any diagnosing field. This research attempts to investigate the utilization of Genetic Algorithm (GA) in the CBR shell framework, methodologies, processes and techniques to bring a new research dimension. Methods/Statistical Analysis: CBR manipulates GA operators’ selection in three scenarios: complete available information, the available information is not enough to give complete operators implementation cycle and no information available. All the possibilities of operators’ selections will be considered and the sequence of the operators with optimal solution will only be considered and retained in the case base. The CBR shell framework will help the users to build their own systems easily and efficiently through automatic and friendly expert interface associated with a powerful help system. Findings: The findings outcome from this study have shown that: (1) A comprehensive listed of active CBR shell framework as a decision support method; (2) Identified and established an evaluation criteria for CBR shell framework as a decision bolster toolfor a general category problems; (3) Highlight the methods, based on Genetic Algorithm, for selecting the best diagnosing (4) Attempt to suggest a proposed system that is the first of its kind to make a decision to choose the best solution that is based on CBR technology. In addition, the use of association rules algorithms. It also provides the necessary structure for system building in knowledge base. This applies also to the time factor that has been reduced slightly based on the rate of reduction in the general category problems concerning any diagnosing field. Application /Improvement: The importance of the research based on the proposed system is that it is the first framework as a decision support tool for a general category problems concerning any diagnosing field.However, CBR has been selected as a tool for the shell framework in order to create, capture and share knowledge to be applied in a particular organizationin order to increase the productivity and building competitive advantage for the organization.
Keywords: Case-based Reasoning, CBR Technology, Decision Support Tool, Diagnosing Field, Genetic Algorithm
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