An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Many approaches have been described ranging from simple checklists to complex mathematical programming models for the benefit of sports improvisation. However, there are very few algorithms or decision engines available that could actually be used by decision-makers to aid in the process of forming...
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2021
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my-uum-etd.95222022-06-26T01:35:13Z An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players 2021 Mohammad Zukuwwan, Zainol Abidin Mohd Nawawi, Mohd Kamal Mat Kasim, Maznah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences QA Mathematics QA299.6-433 Analysis Many approaches have been described ranging from simple checklists to complex mathematical programming models for the benefit of sports improvisation. However, there are very few algorithms or decision engines available that could actually be used by decision-makers to aid in the process of forming a football team. This research constructs a self-generated calculation algorithm as a decision engine in a practical, user-friendly Decision Support System to determine the best team formation and the suitable playing position for players in a football team. A new combined decision model which integrates Analytical Network Process and Case-based Reasoning was developed. The algorithm converts the model to coding, structures the process of entering data, automates the calculations and presents the results in a well-organized and suitable interfaces for the team managerial review purposes. In order to demonstrate the feasibility of the algorithm, the engine was tested in the real application of football team management. The system is organized into two combined components: weight calculation for each player to estimate their strength and simulation for suitable formation when facing opponents. Then, the system will select the appropriate players to be placed in the specified formation. The system was implemented to Kedah Football Association (KFA) where several experimental data were tested. The system can provide the team formation and players, and calculate the strength of the KFA team to justify its winning and loss of 2019 FA Cup and Malaysia Cup final matches respectively. This system can help coaches to solve problem regarding the strong team development with available players and motivate the use of decision technologies in sports able to match the results from the real world implementation. 2021 Thesis https://etd.uum.edu.my/9522/ https://etd.uum.edu.my/9522/1/depositpermission_s94243.pdf text eng 2022-11-08 staffonly https://etd.uum.edu.my/9522/2/s94243_01.pdf text eng 2022-11-08 staffonly other doctoral Universiti Utara Malaysia |
| institution |
Universiti Utara Malaysia |
| collection |
UUM ETD |
| language |
eng eng |
| advisor |
Mohd Nawawi, Mohd Kamal Mat Kasim, Maznah |
| topic |
QA Mathematics QA299.6-433 Analysis |
| spellingShingle |
QA Mathematics QA299.6-433 Analysis Mohammad Zukuwwan, Zainol Abidin An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players |
| description |
Many approaches have been described ranging from simple checklists to complex mathematical programming models for the benefit of sports improvisation. However, there are very few algorithms or decision engines available that could actually be used
by decision-makers to aid in the process of forming a football team. This research constructs a self-generated calculation algorithm as a decision engine in a practical, user-friendly Decision Support System to determine the best team formation and the suitable playing position for players in a football team. A new combined decision model which integrates Analytical Network Process and Case-based Reasoning was developed. The algorithm converts the model to coding, structures the process of entering data, automates the calculations and presents the results in a well-organized and suitable interfaces for the team managerial review purposes. In order to demonstrate the feasibility of the algorithm, the engine was tested in the real application of football team management. The system is organized into two combined components: weight
calculation for each player to estimate their strength and simulation for suitable formation when facing opponents. Then, the system will select the appropriate players to be placed in the specified formation. The system was implemented to Kedah Football
Association (KFA) where several experimental data were tested. The system can provide the team formation and players, and calculate the strength of the KFA team to justify its winning and loss of 2019 FA Cup and Malaysia Cup final matches respectively. This system can help coaches to solve problem regarding the strong team development with available players and motivate the use of decision technologies in sports able to match the results from the real world implementation. |
| format |
Thesis |
| qualification_name |
other |
| qualification_level |
Doctorate |
| author |
Mohammad Zukuwwan, Zainol Abidin |
| author_facet |
Mohammad Zukuwwan, Zainol Abidin |
| author_sort |
Mohammad Zukuwwan, Zainol Abidin |
| title |
An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players |
| title_short |
An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players |
| title_full |
An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players |
| title_fullStr |
An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players |
| title_full_unstemmed |
An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players |
| title_sort |
integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players |
| granting_institution |
Universiti Utara Malaysia |
| granting_department |
Awang Had Salleh Graduate School of Arts & Sciences |
| publishDate |
2021 |
| url |
https://etd.uum.edu.my/9522/1/depositpermission_s94243.pdf https://etd.uum.edu.my/9522/2/s94243_01.pdf |
| _version_ |
1747828614493110272 |