Selection of dream-11 players in T20 cricket by using TOPSIS method

Ch. Himagireesh, P. Vinay, B. Srinu, Taj A Taj
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引用次数: 0

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.
运用TOPSIS法筛选T20板球梦想11人
就竞争对手、观众和媒体的兴趣而言,板球是最受欢迎的国际运动之一。在国际水平上,板球可以以三种形式进行:五天的测试,每队50人的一天国际(ODI),以及每队20人的20 - 20 (T20)。各种基于上述板球形式的在线游戏允许玩家组成现实生活中的虚拟球队,并根据他们在真实比赛中的表现得分。如果玩家在所有比赛中获得最多分数,他们在排行榜上的排名就会更高。Dream11就是这样一个在线游戏平台,它提供免费和付费的比赛,因此玩家可以赢得一些现金奖励。因此,用户可以选择11名球员并组成一个团队。这11名球员必须从将要进行比赛的两支球队中选出。此外,这11名球员可以从一支球队或两支球队的组合中选出。为了确定在T20板球比赛中能够提供最高分数以获得最佳排名的11名球员,许多研究采用了多标准决策(MCDM)。本文采用TOPSIS法(运用AHP法评价选手表现因子的权重)确定前11名选手。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
33
审稿时长
20 weeks
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
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