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2285. Optimizing IPL cricket 2023: selecting top batsmen and bowlers with the multi-MOORA method
Invited abstract in session WB-16: Sports analytics, stream OR in Sports.
Wednesday, 10:30-12:00Room: 19 (building: 116)
Authors (first author is the speaker)
| 1. | Uttam Kumar Bera
|
| Mathematics, NIT Agartala | |
| 2. | Dipayan Bhowmik
|
| Mathematics, National Institute of Technology Agartala | |
| 3. | AZHARUDDIN SHAIKH
|
| MATHEMATICS, NIT AGARTALA | |
| 4. | Anirban TARAFDAR
|
| Mathematics, NIT Agartala | |
| 5. | Pinki Majumder
|
| MATHEMATICS, NIT AGARTALA |
Abstract
In the context of procuring cricket players during an IPL auction, a comprehensive assessment of various elements becomes imperative, encompassing metrics such as batting average, strike rate, and total runs amassed for batsmen, alongside economy rates and wicket tallies for bowlers. The process of player selection inherently mirrors a Multi-Criteria Decision Making (MCDM) problem, wherein the challenge lies in reconciling conflicting objectives to identify the most suitable candidates. This paper undertakes an empirical investigation utilizing the multi-MOORA method, leveraging real-life data from the recent IPL 2023 season. By meticulously considering all pertinent attributes of players, we establish a prioritized ranking scheme. Moreover, we conduct a comparative analysis with established methodologies such as MOORA and WASPAS to discern their efficacy in this context, thereby shedding light on their respective strengths and weaknesses.
Keywords
- Decision Analysis
- OR in Sports
- Group Decision Making and Negotiation
Status: accepted
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