Research on the CAPP System Based on Case Retrieval

Take the rotary parts as sample to take on the technical research of CAPP system based on case retrieval. Building the case base based on the cases which already exists: Set up the rules about the parts expression and input and make retrieval algorithm of similar part. By the favorable man-machine interface, the similar parts can be retrieved from the case according to the target part’s feature. When there are no entries in the directory case base that match your search case, some correction will be made to the case base to meet the need of the users.

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A Subjective Evaluation Method for Man-Machine Interface Based on Grey Interval Relational Analysis

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.419-420.137 ◽

2009 ◽

Vol 419-420 ◽

pp. 137-140

Author(s):

Sheng Yuan Yan ◽

Chun Yan Xia ◽

Kun Yu ◽

Wei Bo Xu

Keyword(s):

Evaluation Method ◽

Evaluation Model ◽

Subjective Evaluation ◽

Uncertain Information ◽

Interval Numbers ◽

Relational Analysis ◽

Machine Interface ◽

Man Machine Interface ◽

Human Thinking ◽

Set Up

The quality of man-machine interface (MMI) directly affects efficiency, safety and comfort of the man-machine system. Therefore, it is significant to study an appropriate evaluation technology for MMI. The method of grey relational analysis based on interval numbers is put forward in the field of MMI evaluation in this paper, based on human thinking having the grey and fuzzy characteristic. In this method, interval numbers are employed as a mean to reflect the rating of indexes instead of real numbers, which offer uncertain information. By judging the correlative degree between the evaluation criterion and the design schemes, the optimal scheme can be found. Based on the proposed method, a novel subjective evaluation model of MMI is set up and applied in the subjective evaluation on the digital control system console of the power plant. Results of the evaluation example prove that the proposed method for MMI evaluation is reasonable and applicable.

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An Efficient Case Retrieval Algorithm for Agricultural Case-Based Reasoning Systems, with Consideration of Case Base Maintenance

Agriculture ◽

10.3390/agriculture10090387 ◽

2020 ◽

Vol 10 (9) ◽

pp. 387

Author(s):

Zhaoyu Zhai ◽

José-Fernán Martínez Ortega ◽

Néstor Lucas Martínez ◽

Huanliang Xu

Keyword(s):

Poor Performance ◽

Retrieval Algorithm ◽

Case Based Reasoning ◽

Case Retrieval ◽

Reasoning Systems ◽

Case Base ◽

Low Efficiency ◽

Association Table ◽

Smart Agriculture ◽

Case Based

Case-based reasoning has considerable potential to model decision support systems for smart agriculture, assisting farmers in managing farming operations. However, with the explosive amount of sensing data, these systems may achieve poor performance in knowledge management like case retrieval and case base maintenance. Typical approaches of case retrieval have to traverse all past cases for matching similar ones, leading to low efficiency. Thus, a new case retrieval algorithm for agricultural case-based reasoning systems is proposed in this paper. At the initial stage, an association table is constructed, containing the relationships between all past cases. Afterwards, attributes of a new case are compared with an entry case. According to the similarity measurement, associated similar or dissimilar cases are then compared preferentially, instead of traversing the whole case base. The association of the new case is generated through case retrieval and added in the association table at the step of case retention. The association table is also updated when a closer relationship is detected. The experiment result demonstrates that our proposal enables rapid case retrieval with promising accuracy by comparing a fewer number of past cases. Thus, the retrieval efficiency of our proposal outperforms typical approaches.

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