Evaluation of Simulation Credibility Based on Rough Set and Gray Correlation Analysis
Xitong Fangzhen Xuebao / Journal of System Simulation, ISSN: 1004-731X, Vol: 30, Issue: 2, Page: 459-464
2018
- 3Citations
- 20Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
- Usage20
- Downloads20
Article Description
The evaluation of simulation model credibility has always been a hot issue in the simulation field. How to evaluate the credibility of the simulation is the key to the development of the simulation technology. It is of great significance for our country to carry out the credibility evaluation research. In view of the issue, the grey correlation analysis theory and the related principles in rough set theory are analyzed and the simulation credibility evaluation model based on rough set and grey correlation analysis is proposed. The indiscernibility principle in rough set is used to assign the weight distribution of each factor objectively. The comprehensive evaluation of simulation credibility is carried out by combining the grey correlation analysis method with the indiscernibility principle in rough set. The feasibility of this method is verified through an example of the flight simulation system.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85059278716&origin=inward; http://dx.doi.org/10.16182/j.issn1004731x.joss.201802012; https://dc-china-simulation.researchcommons.org/journal/vol30/iss2/12; https://dc-china-simulation.researchcommons.org/cgi/viewcontent.cgi?article=2759&context=journal; https://dx.doi.org/10.16182/j.issn1004731x.joss.201802012; https://www.chndoi.org/Resolution/Handler?doi=10.16182/j.issn1004731x.joss.201802012; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=6186122&internal_id=6186122&from=elsevier
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