Case-Based Reasoning Framework for Generating Wide-Range Decision Support Systems
نویسندگان
چکیده
Case-Based Reasoning (CBR) is a relatively new and promising technique of artificial intelligence. By CBR, every new problem is solved by adapting the solutions of the similar problems previously solved successfully. During the past few years CBR has become a very popular technique for application in knowledge-based systems for different domains because the experience has been included in solving every new problem. The intention of our research is to develop a robust and general framework which supports generation of widerange decision support systems by using different CBR approaches. Presented framework integrates two previously developed CBR shells: CaBaGe and CuBaGe.
منابع مشابه
Case-based Reasoning Framework for Generating Decision Support Systems
Case-Based Reasoning (CBR) is a relatively new and promising technique of artificial intelligence. Using CBR, every new problem is solved by adapting the solutions of the previously successfully solved similar problems. The intention of our research is to develop a robust and general framework which supports generation of wide-range of CBR systems using different approaches. Presented framework...
متن کاملA New multi attribute Decision making Reliability Centered Maintenance in Power Transmission Systems
The present context of the electric industry, characterized by competitive markets, privatization, and regulatory of technical requirements forces the power utilities to optimize their asset management practices and develop the requisite decision plans techno-economically. Practically approaching, this paper devises a new support tool based on a multiattribute decision making (MADM) framework i...
متن کاملRFID-based decision support within maintenance management of urban tunnel systems
Efficiently, tracking information related to components, materials and equipment from the production/construction phase to operation and maintenance is a challenge in the industries. The industry environment is a natural fit for generating and utilizing instance-level data for decision support. Advanced electronic identification and data storage technologies e.g. radio frequency identification ...
متن کاملA Margin-based Model with a Fast Local Searchnewline for Rule Weighting and Reduction in Fuzzynewline Rule-based Classification Systems
Fuzzy Rule-Based Classification Systems (FRBCS) are highly investigated by researchers due to their noise-stability and interpretability. Unfortunately, generating a rule-base which is sufficiently both accurate and interpretable, is a hard process. Rule weighting is one of the approaches to improve the accuracy of a pre-generated rule-base without modifying the original rules. Most of the pro...
متن کاملA Model-Driven Decision Support System for Software Cost Estimation (Case Study: Projects in NASA60 Dataset)
Estimating the costs of software development is one of the most important activities in software project management. Inaccuracies in such estimates may cause irreparable loss. A low estimate of the cost of projects will result in failure on delivery on time and indicates the inefficiency of the software development team. On the other hand, high estimates of resources and costs for a project wil...
متن کامل