Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis is popular PDF and ePub book, written by Joe Zhu in 2007-06-08, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis can be Read Online from any device for your convenience.

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis Book PDF Summary

In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.

Detail Book of Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis PDF

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
  • Author : Joe Zhu
  • Release : 08 June 2007
  • Publisher : Springer Science & Business Media
  • ISBN : 9780387716077
  • Genre : Business & Economics
  • Total Page : 334 pages
  • Language : English
  • PDF File Size : 11,5 Mb

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