Genetic algorithms;
match analysis;
team selection;
school cricket;
TEAM SELECTION;
FUZZY;
ENVIRONMENT;
PLACEMENT;
D O I:
暂无
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
The management of Sri Lankan school and club level cricket board faces the challenge of dealing with match statistics in match analysis using manual methods. The analysis of previous cricket matches is time consuming and messing up due to lack of technology. The aim of this research is to upgrade the Sri Lankan school cricket with the blend of information technology to solve the existing problems. The proposed solution is focusing on implementing a web based system using open source technologies to solve the issues regarding with match analysis. Also a Genetic Algorithm based advanced team selection model is presented in line with the web solution. Mainly the inputs to the system are gathered through the online scorecard while the outputs of the system are in the form of graphical representation. The web based solution is suggested to use in school cricket of Sri Lanka in order to witness the cost effective technological advantages in their decision making activities.
机构:
St George Hosp, Dept Dermatol, Sydney, NSW, AustraliaSt George Hosp, Dept Dermatol, Sydney, NSW, Australia
Daniel, B.
Ng, S.
论文数: 0引用数: 0
h-index: 0
机构:
St George Hosp, Dept Dermatol, Sydney, NSW, AustraliaSt George Hosp, Dept Dermatol, Sydney, NSW, Australia
Ng, S.
Murrell, D. F.
论文数: 0引用数: 0
h-index: 0
机构:
St George Hosp, Dept Dermatol, Sydney, NSW, Australia
Univ New South Wales, Sydney, NSW, AustraliaSt George Hosp, Dept Dermatol, Sydney, NSW, Australia