@article{article_298149, title={DATA ENVELOPMENT ANALYSIS: PERFORMANCE EVALUATION WITH POZITIVE AND NEGATIVE EFFECTED VARIABLES}, journal={Gazi Journal of Physical Education and Sport Sciences}, volume={5}, pages={21–34}, year={2000}, author={Alp, İhsan and Gölcüklü, Ayhan}, keywords={Basketball,Data Envelopment Analysis,Ordering}, abstract={<p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;line-height:150%;"> <span style="font-size:12pt;line-height:150%;font-family:’Times New Roman’, serif;">Past of
ordering, efficiency evaluation and performance measuring begins with the
history. This concept have always been important for the human being. The
simplest ordering is according to a single criterion. When we start to think in
terms of more than two criteria, performance calculation becomes a complex
process. Various methods have been developed to overcome this complexity:
Weghting, Factor Analysis and the others. In this study, a new technique, that
overcomes this complexity above by means of the objective criteria, will be
intoduced. It is called Data Envelopment Analysis (DEA). DEA method is the one
which calculates the productivity of each player relatively to the best ones
according to the multiple Input/output variables. It is generally used to
compare the efficiencies of the decision units related to the production
process. In this study, this method is tested in an area, for example Turkey’s
1st Men’s Basketball League which is quite different from production process.
In basketball, there are positive and negative effected variables that effect
the players’ performances. In study, ordering and comparing have been made in
an appropriate way by analysing both of this two kind of variables. The results
are completely compatible with the league results. The result of EA must be
taken into consideration by both of teams and players, especially in transfer
periods. These results must/should be treated as a certificate/report. </span> </p> <p> </p>}, number={1}, publisher={Gazi University}