Using entropy to construct and evaluate player’s value and sustainable development model

Chang, Che‐Wei

doi:10.1080/02522667.2019.1645395

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Therefore, it is more realistic to adopt the Critic-Entropy combination empowerment method, Critic-Entropy amalgamates the advantages of Critic, which eradicates overlap between indicators' information and entropy, which handles inter-indicator correlation (Diakoulaki et al, 1995;Abdel-Basset and Mohamed, 2020). The entropy method determines weights according as the degree of dispersion among indexes (Chang, 2019), addressing Critic's limitations. Consequently, the Critic-Entropy is used to compute the weights of indicators.…”

Section: Calculation Methods 231 Weight Measurementmentioning

confidence: 99%

Spatial spillover and threshold effects of digital rural development on agricultural circular economy growth

2024

Front. Sustain. Food Syst.

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The infusion of digital technologies imparts impetus to the development of agricultural circular economy. Study focuses on the nexus of digital rural development, agricultural circular economy growth, employing entropy, Critic, and TOPSIS models to calculate the evolution of agricultural circular economy from 2011 to 2021. Furthermore, the temporal and spatial dynamics of agricultural circular economy development are explored. In addition, spatial Durbin models and threshold models are utilized to explore the spatial spillover effects of digital rural development on agricultural circular economy, and the threshold characteristics of agricultural circular economy with varying levels of digital rural development. The research findings reveal that arable land area, forest coverage, and mechanization play pivotal roles in shaping the trajectory of rural circular economy development. The synthetical index of rural circular economy development shows a consistent yearly increment, yet pronounced regional disparities exist, reflecting an olive-shaped distribution with dual cores in Heilongjiang and Chongqing and a more prominent central. The implementation of digital rural not only elevates the local agricultural circular economy, but also demonstrates conspicuous spatial spillover effects on neighboring regions. The relationship between digital rural development and agricultural circular economy growth is characterized by a singular threshold effect. Pre- and post-threshold, the promotive impact of digital rural development rises from 0.048 to 0.058. Building upon these findings, policy recommendations are formulated to guide future endeavors in this domain.

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Section: Calculation Methods 231 Weight Measurementmentioning

confidence: 99%

Spatial spillover and threshold effects of digital rural development on agricultural circular economy growth

2024

Front. Sustain. Food Syst.

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“…DEA has shown significant efficacy as it does not need to determine the weights of the respective evaluation criteria, unlike the evaluation method used by the association of tennis professionals. Returning to basketball, from an objective perspective, Chang [50] used entropy to calculate a comprehensive value assessment of the top 10 guards based on five categories (rebounds, assists, steals, blocked shots, and scoring) during the 2017-2018 season. The calculated comprehensive assessment values and player scores developed a player value matrix to assess the relative value model among players of the same type.…”

Section: Methods For Evaluating Player Performancementioning

confidence: 99%

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players’ Value

Chang

2022

Mathematics

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This paper proposes a multicriteria decision-making model based on a three-layer virtual internet of things (IoT) algorithm to automatically track and evaluate professional football players’ performance over the Internet. The three layers were respectively related to (1) automated data reading, (2) the players’ comprehensive grey relational degree calculation, and (3) the players’ classification. The methodology was applied in the context of the COVID-19 pandemic to investigate the performance of the top 10 defenders (according to The Sun, an internationally renowned sports website) in the European leagues, participating in the knockout phase of the 2019–20 UEFA Champions League. The results indicate that Virgil van Dijk of Liverpool FC was the best defender, followed by Harry Maguire of Manchester United, and Sergio Ramos of Real Madrid in the second and third positions, respectively. However, this ranking contradicted that of The Sun’s, which ranked these defenders in the seventh, tenth, and eighth positions, respectively. These results can help club management, coaches, and teams negotiate price positioning and future contract renewals or player transfers.

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Fuzzy analytical hierarchical process based two way assessment for agile testing

Singh

Kumar

Sagar

2021

Journal of Discrete Mathematical Sciences and Cryptography

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Using entropy to construct and evaluate player’s value and sustainable development model

Cited by 4 publications

References 17 publications

Spatial spillover and threshold effects of digital rural development on agricultural circular economy growth

Spatial spillover and threshold effects of digital rural development on agricultural circular economy growth

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players’ Value

Fuzzy analytical hierarchical process based two way assessment for agile testing

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