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Attribute Weights Assignment is an important method to solve real world problems full of uncertainty, for it is difficult to acquire a comprehensive formula theoretically with which so many empirical calculations have to be drilled out of domain experts. Case-Intelligent System based on CBR (case-based reasoning), which is a human creative thinking...
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Citations
... Overall similarity and partial similarity are used for case retrieval to find potential deficits, where the same cases have the max similarity and have been classified perfectly. By applying feature weights we can put special emphasis on some features for the similarity calculation, which can be seen in our former work [7] to improve the system accuracy and efficiency. ...
Though Deep Learning CNN is mostly used in UAV power line-inspection system for the application of intelligent image recognition technology, can design image features easily and has strong adaptability to complex environments, but three problems deafly influence the actual results of application system such as insufficient image samples library, scarce labeling samples, and absent open-data source. To conquer these problems, CBR is proposed as a strategy for knowledge reasoning, which transform the similar case-space to a new situation for problem-solving, so the combination of RBR and CBR is expected to construct our flexible case- decision diagnosis system, which integrates efficient machine learning methods to give their full advantages to guarantee the good performance of the system for fault detection. The on spot experimental results indicates our system performs efficiently, assist people in decision-making and can find potential equipment faults.
