{"title":"运用TOPSIS法筛选T20板球梦想11人","authors":"Ch. Himagireesh, P. Vinay, B. Srinu, Taj A Taj","doi":"10.5267/j.msl.2023.6.001","DOIUrl":null,"url":null,"abstract":"In terms of competitors, spectators, and media interest, cricket is one of the favorite international sports. At the international level, cricket may be played in three formats: a five-day Test, a one-day International (ODI) for each squad of 50 overs, and a Twenty-Twenty (T20) for each team of 20 overs. Various online games that are based on the aforementioned cricket forms allow players to form a virtual squad of real-life players and score points based on how well they perform in real matches. A user gains better rank on the leaderboard if they get the most points in all of the contests they have participated in. Dream11 is one such online gaming platform which offers free and paid contests and thereby gamers can win some cash rewards. So users can select the eleven players and form a team. These eleven players should be selected from the two teams between which the match will be played. Additionally, these eleven players may be chosen from either one team or a combination of the two teams. To identify the eleven players for the T20 cricket format who can provide the maximum score to get the best rank in competitions, many studies employ Multi Criteria Decision Making (MCDM).In this paper, the TOPSIS method is utilized (weights of the performance factors of players are evaluated by using AHP) to determine the top eleven players.","PeriodicalId":30205,"journal":{"name":"Management Science Letters","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Selection of dream-11 players in T20 cricket by using TOPSIS method\",\"authors\":\"Ch. Himagireesh, P. Vinay, B. Srinu, Taj A Taj\",\"doi\":\"10.5267/j.msl.2023.6.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In terms of competitors, spectators, and media interest, cricket is one of the favorite international sports. At the international level, cricket may be played in three formats: a five-day Test, a one-day International (ODI) for each squad of 50 overs, and a Twenty-Twenty (T20) for each team of 20 overs. Various online games that are based on the aforementioned cricket forms allow players to form a virtual squad of real-life players and score points based on how well they perform in real matches. A user gains better rank on the leaderboard if they get the most points in all of the contests they have participated in. Dream11 is one such online gaming platform which offers free and paid contests and thereby gamers can win some cash rewards. So users can select the eleven players and form a team. These eleven players should be selected from the two teams between which the match will be played. Additionally, these eleven players may be chosen from either one team or a combination of the two teams. To identify the eleven players for the T20 cricket format who can provide the maximum score to get the best rank in competitions, many studies employ Multi Criteria Decision Making (MCDM).In this paper, the TOPSIS method is utilized (weights of the performance factors of players are evaluated by using AHP) to determine the top eleven players.\",\"PeriodicalId\":30205,\"journal\":{\"name\":\"Management Science Letters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Management Science Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5267/j.msl.2023.6.001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Management Science Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5267/j.msl.2023.6.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Selection of dream-11 players in T20 cricket by using TOPSIS method
In terms of competitors, spectators, and media interest, cricket is one of the favorite international sports. At the international level, cricket may be played in three formats: a five-day Test, a one-day International (ODI) for each squad of 50 overs, and a Twenty-Twenty (T20) for each team of 20 overs. Various online games that are based on the aforementioned cricket forms allow players to form a virtual squad of real-life players and score points based on how well they perform in real matches. A user gains better rank on the leaderboard if they get the most points in all of the contests they have participated in. Dream11 is one such online gaming platform which offers free and paid contests and thereby gamers can win some cash rewards. So users can select the eleven players and form a team. These eleven players should be selected from the two teams between which the match will be played. Additionally, these eleven players may be chosen from either one team or a combination of the two teams. To identify the eleven players for the T20 cricket format who can provide the maximum score to get the best rank in competitions, many studies employ Multi Criteria Decision Making (MCDM).In this paper, the TOPSIS method is utilized (weights of the performance factors of players are evaluated by using AHP) to determine the top eleven players.
期刊介绍:
Management Science Letters is a peer reviewed, monthly publication dedicated to create a forum for scientists in all over the world who wish to share their experiences and knowledge in the field of management skills in the form of original, high quality and value added articles. The journal''s policy is to perform a peer review on all submitted articles and the papers will be appeared in a form of online on our website as soon as the review result becomes positive. The journal covers both empirical and theoretical aspects of management and gives the chance on sharing knowledge among practitioners. Management Science Letters is dedicated for publishing in the following areas: • Quality Management • Production Management (Scheduling, Production management, etc.) • Total Quality Management (TQM) • Six Sigma • Production Efficiency • Just in Time Inventory • Data Envelopment Analysis • Balanced Score Card • Activity Based Cost (ABC) • Technology Acceptance Model • Marketing planning and Customer Relationship Management • Critical Success Factors • e-learning • Customer satisfaction, Job satisfaction, Job turnover, • Organizational commitment, Employee Commitment • Knowledge Management • Knowledge sharing • Human Resources Management (Employee training, Employee Performance, Work achievements,) • Small and medium-sized enterprises (SMEs) issues and Economic development • Innovation, Creativity, Productivity and Performance • Multi-Criteria Decision Making Applications in Management Science (AHP, BWM, TOPSIS, …) • Education Management, Social development, Public Policy • Tourism Industry, Tourism promotion, Tourism directorates • Business performance and financial performance