Premium
Methods for ranking college sports coaches based on data envelopment analysis and PageRank
Author(s) -
Hu ZhiHua,
Zhou JingXian,
Zhang MengJun,
Zhao Yang
Publication year - 2015
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/exsy.12108
Subject(s) - pagerank , data envelopment analysis , ranking (information retrieval) , computer science , consistency (knowledge bases) , matching (statistics) , rank (graph theory) , basketball , data mining , range (aeronautics) , machine learning , information retrieval , artificial intelligence , statistics , mathematics , history , materials science , archaeology , combinatorics , composite material
Two methods based on data envelopment analysis (DEA) and PageRank are proposed to rank college athletic coaches. The DEA‐based method uses four processes: first, the input factors must undergo the Kendall Consistency Check to ensure the feasibility and consistency of the result; second, the Data Reduction Factor epitomizes the input–output factors; third, the Range Transfer Approach standardizes the parameters and fourth, Efficiency Assessment Values for each coach are computed using a DEA model. The PageRank‐based method involves building a network for matching coaches whose algorithms are used for the ranking. Sensitivity analysis and general analysing methods are applied to examine and analyse the ranking results for baseball, basketball and football coaches. The PageRank‐based method also considers dynamic and diffusion relationships among coaches. The results are analysed to reveal possible features to improve the method.