Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers

Yan, Aijun; Wang, Dianhui

doi:10.1016/j.eswa.2015.06.027

Cited by 15 publications

(5 citation statements)

References 22 publications

(26 reference statements)

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“…The similarity calculation function is k-NN as before, the difference is that the CBR model is relatively simple, so the weight of each index is not set: ZZ is also divided into numerical and text types as described by (3) and (4). Then similar to the CBR model for generating preliminary operation plan, solution elements screened are sorted and the best one will replace the element to be adjusted.…”

Section: A Adjustment Of Single Solution Elementmentioning

confidence: 99%

“…Much research on historical information reuse and CBR has been done. CBR technology has been applied in decision-making problems of various fields, such as explainable prediction of chronic renal disease generating [1], alternative for environmental emergency preparedness systems [2]- [3], trustworthiness evaluation and revision of classification [4], machining parameters selection [5] and RH control model with higher accuracy [6]. Even though CBR technology has been studied and applied for many years, different CBR models applied in different fields cannot be well reused in other fields.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter

et al. 2020

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Case-based reasoning (CBR) is an effective reasoning technology. The core idea of CBR is using past experience and expert knowledge to solve new problems. Operation planning of helicopter is mainly relied on the experiences of the decision-maker, so CBR is an effective reasoning technology which can be used in the operation planning. Two key issues, evaluation method and case adaptation, are widely focused in CBR method. However, the existing CBR is not suitable for non-numeric optimization problem such as operation planning, because it belongs to small sample size problem. To solve this problem, the comprehensive evaluation based multi-CBR (CEB-mCBR) method is proposed in this paper, which can be used for operation planning of helicopter. According to the comprehensive evaluation theory, similar historical case set of the target case is established, and the historical operation plans are ranked. On this basis, the optimum initial plan for the target case is generated by the case screening CBR model. Then the solution element screening CBR model is further put forward to solve the issue of case adaptation. The CEB-mCBR method comprises multi-CBR (case screening CBR and solution element screening CBR) and combination evaluation method. It can integrate expert experience and human thinking better, especially when solution space is limited. Finally, through a case study analysis, the multi-CBR model can generate a feasible solution for the target case, and the solution elements can be adjusted according to the situation in the actual operation, which can improve the efficiency of operation planning while keeping the safety, economy and operating efficiency.

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Section: A Adjustment Of Single Solution Elementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter

et al. 2020

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“…Reasonable selection and application of large data network information becomes very important. Yan A, Wang D (2015) [7] propose a retrieval-based revision method to achieve better classification performance of case-based reasoning classifiers. The use of attribute weight algorithm greatly improves the classification results of case reasoning technology, which will help to solve the problem of the credibility of the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Internet Big Data Information Analysis and Power Intelligent Automation Risk Prediction Based on Case Based Reasoning

Xu¹,

Tian²

2015

Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

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The development of the Internet makes it easier to get data. However, it is more urgent to obtain effective information on the large data which is redundant. Based on the risk prediction system of power intelligent automation, this paper tries to solve the problems of enterprise risk management, and tries to make human beings free from the heavy human and mental labor. In order to solve the problem of large data analysis, this paper constructs a close triangle case based reasoning model based on the data mining technology of NT-SMOTE and the case based reasoning technology. Compare with NT-MDA, NT-Logit, NT-Probit, NT-DT, NT-SVM and other methods, the experimental results show that NT-CBR is more effective than other methods of intelligent risk prediction.

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“…Analysts will need to refer to the experience of similar or identical aircraft systems/subsystems for analysis and judgment. This is the idea of Case-Based Reasoning (CBR) [1][2][3] .…”

Section: Introductionmentioning

confidence: 99%

Research on case-based reasoning for determining maintenance intervals of civil aircraft systems

2024

J. Phys.: Conf. Ser.

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The development of a rational and effective maintenance program is an important way to keep the safety and the economy of the aircraft industry. The maintenance program indicates maintenance types and intervals of all components. As development maintenance types of the components are simple, interval is a key to developing the maintenance program. In this paper, Case-Based Reasoning (CBR) is introduced to determine the intervals of components. It focuses on the expression and adjustments of the case. Finally, the reliability data of components in Boeing 737 is taken as an example to certify this method. The results show that this method can determine the maintenance intervals effectively, and so it has important engineering application value.

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Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers

Cited by 15 publications

References 22 publications

A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter

A Multi-CBR Algorithm Based on Comprehensive Evaluation for Operation Planning of Helicopter

Internet Big Data Information Analysis and Power Intelligent Automation Risk Prediction Based on Case Based Reasoning

Research on case-based reasoning for determining maintenance intervals of civil aircraft systems

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