Version 1
: Received: 25 May 2018 / Approved: 25 May 2018 / Online: 25 May 2018 (12:00:44 CEST)
How to cite:
Chang, C. Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model. Preprints2018, 2018050366. https://doi.org/10.20944/preprints201805.0366.v1
Chang, C. Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model. Preprints 2018, 2018050366. https://doi.org/10.20944/preprints201805.0366.v1
Chang, C. Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model. Preprints2018, 2018050366. https://doi.org/10.20944/preprints201805.0366.v1
APA Style
Chang, C. (2018). Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model. Preprints. https://doi.org/10.20944/preprints201805.0366.v1
Chicago/Turabian Style
Chang, C. 2018 "Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model" Preprints. https://doi.org/10.20944/preprints201805.0366.v1
Abstract
The value of an NBA basketball player varies at each crucial point in time, depending on the player’s career and performance. This study constructs a player’s value assessment model. The model comprises two parts. First, from an objective perspective, entropy is employed to measure each player’s achievement in five categories—rebounds, assists, steals, blocked shots, and scores. The total entropy assessment value is calculated and then combined with the players’ scores to develop a player's value matrix to assess the relative value model among players of the same type.
Keywords
NBA; player’s value; entropy; multi-attribute decision-making; player’s value matrix; value positioning model
Subject
Business, Economics and Management, Human Resources and Organizations
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
