A grey relational analysis on the performances of the World Best Men's Decathletes

Shen, Weihua; Xiao, Xiaocong

doi:10.1109/hhbe.2011.6028951

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…. By comparing the results of the different studies: Shen et al (2010) and Huang (2009Huang ( , 2010, one can find that our models' prediction accuracy is the highest and almost involves all of the most events (except for women's 3,000 meters barriers, walking race and hammer throw, because the original data was too lack for modeling). Our study results are more accurate and more reliable.…”

Section: Discussionmentioning

confidence: 92%

“…Tables VII and VIII show the 30th Olympic athletics events the top three athletic achievements prediction grey intervals and indicate possible development and trend changing in the future (2012). By comparing the results of the different studies: Shen et al (2010) and Huang (2009Huang ( , 2010, we find that our models' prediction accuracy is the highest and almost involves all the events. This study can be very helpful for many nations to prepare for the London Olympic in terms of macro guidance, planning and strategic objectives, etc.…”

Section: The 30th Olympic Athletics Sport Performance Grey Intervals Predictionmentioning

confidence: 84%

See 1 more Smart Citation

Research on construction and application of the GM(1,1) forecast model of Olympics track and field achievements

Mei

Hua²,

Cong³

2012

Grey Systems: Theory and Application

View full text Add to dashboard Cite

Purpose -The paper attempts to establish GM(1,1) grey prediction model group for the top three Olympic track and field sports performance, and to predict the 30th London Olympic track and field results and its tendency using grey systems theory. Design/methodology/approach -Athletics sports achievements are influenced by many factors, such as the physical quality, athletes individual growth cycle, and injuring or retirement of excellent athletes, the outstanding performance of some athletes, the using of high-tech sports training instrument, the implementation plan of scientific training guidance, the introduction of advanced technology, facilities and improvement, and so on. Those aspects can make the match result uncertain, which are running in a uncertain and continually changing environment, so sports achievements have obviously grey features. Combined with grey modeling methods, and aimed at the top three Olympic track and field sports performance, this paper established GM (1,1) grey prediction model group and analysed the trend of Olympic track and field. And in the end of the paper, the 30th Olympic men's and women's the top three athletic achievements prediction intervals are also predicted. Findings -The results show that forecasting model group has high-precision. In the 46 champions prediction models, three models have the forecast accuracy of 100 percent; 27 models' forecast accuracy are greater than 99.5 percent, and the rest of the models forecast accuracy are greater than 98.58 percent. In the 46 silver medalists prediction models, five models have the forecast accuracy of 100 percent; 33 models' forecast accuracy are greater than 99.5 percent and the rest of the models' forecast accuracy is greater than 98.48 percent. In the 46 bronze medalist prediction models, four models have the forecast accuracy of 100 percent; 25 models' forecast accuracy is greater than 99.5 percent and the rest of the models forecast accuracy is greater than 98.76 percent. The essay deeply analyzes the top three achievements' trend of Olympic Games Track and field. In the end, the paper predicts the 30th Olympic track and field results. Practical implications -The method exposed in the paper can be used for the short-term or long-term prediction of sports scores metering in international competition (such as track and field, swimming, rowing, etc.), and also for personal athletic performance prediction. Originality/value -The paper succeeds in realising both grey prediction model group for the top three Olympic track and field performance in all projects, and prediction of the 30th London Olympic track and field results by using the newest developed theories: grey systems theory.

show abstract

Section: Discussionmentioning

confidence: 92%

Section: The 30th Olympic Athletics Sport Performance Grey Intervals Predictionmentioning

confidence: 84%

Research on construction and application of the GM(1,1) forecast model of Olympics track and field achievements

Mei

Hua²,

Cong³

2012

Grey Systems: Theory and Application

View full text Add to dashboard Cite

show abstract

A grey relational analysis on the performances of the World Best Men's Decathletes

Cited by 1 publication

References 0 publications

Research on construction and application of the GM(1,1) forecast model of Olympics track and field achievements

Research on construction and application of the GM(1,1) forecast model of Olympics track and field achievements

Contact Info

Product

Resources

About