Title of article :
A study of optimal weights of Data Envelopment Analysis – Development of a context-dependent DEA-R model
Author/Authors :
Wei، نويسنده , , Ching-Kuo and Chen، نويسنده , , Liang-Chih and Li، نويسنده , , Rong-Kwei and Tsai، نويسنده , , Chih-Hung and Huang، نويسنده , , Hsiao-Ling، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Abstract :
The weight is one of the main issues of Data Envelopment Analysis (DEA), and relevant theoretical research indicates that many DEA mathematical models include redundant restraints on weight, resulting in underestimated efficiency, pseudo inefficiency, and difficulty in representing specific Input/Output relationships. This study proposes a context-dependent DEA-R model to address shortcomings resulting from redundant restraints on the weights of an efficient decision making unit (DMU), and converts the optimal weight to analyze the influences of redundant restraints on weights. The evaluation results of Taiwan medical centers show that the efficiency of the DMU is underestimated and pseudo inefficiency may occur due to redundant restraints on weight. Moreover, optimal weights are used as variables to conduct cluster analysis in order to determine the information of the weights. The results of cluster analysis indicate that it can assist DMUs in understanding the relationships between DMUs, and contribute to the development of a unique survival strategy for hospitals.
Keywords :
Data Envelopment Analysis , Redundant restraints on weight , Context-dependent , Cluster analysis , medical center
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications