Name
Abstract | ||
|---|---|---|
The accuracy and fairness of the assessment results to a large extent limited by the choice of methods of assessment data processing. In the current practice of the equipment support core competencies (ESCC) assessment, there are two methods of assessment data processing mainly used, which are named the simple arithmetic average method and the weighted arithmetic average method. In this paper, an assessment data processing method is given, which is based on the accuracy of the expert assessment data. This method can be better to eliminate the subjectivity and contingency of expert assessment, and to improve the fairness and reliability of the assessment results. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/FSKD.2010.5569426 | FSKD |
Keywords | Field | DocType |
escc,expert systems,weighted arithmetic average method,data analysis,data processing method,data processing,digital arithmetic,expert assessment data,reliability,equipment support core competencies,escc assessment,assessment,arithmetic average method,fuzzy systems,data models,construction industry,indexes,gaussian distribution,core competencies,accuracy | Data mining,Data modeling,Data processing,Core competency,Computer science,Arithmetic mean,Expert system,Construction industry,Artificial intelligence,Fuzzy control system,Contingency,Machine learning | Conference |
Volume | ISBN | Citations |
4 | 978-1-4244-5931-5 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue-min Zhang | 1 | 4 | 3.17 |
| Xiao-Ming Du | 2 | 1 | 1.79 |
| Ping Gu | 3 | 0 | 0.68 |