216 / 2016-06-30 11:06:42
A Model of Mutually Acceptable Cross Efficiency in Data Envelopment Analysis
10719
Draft Pending
良仕 赵 / 大连理工大学
凤朝 刘 / 大连理工大学
才志 孙 / 辽宁师范大学
This study summarizes the concept of cross efficiency derived from data envelopment analysis (DEA) and analyzes the cross efficiency related issues. The cross efficiency is a generalization of the traditional CCR model and widely applied to many fields. It is based on peer-evaluation, linking the performance of one decision-making unit (DMU) with others. Many scholars have studied cross efficiency from different aspects, but the non-uniqueness of the DEA optimal weights may still suppress the effectiveness of cross-efficiency evaluations. To address this uniqueness problem, this paper generalizes the original DEA cross-efficiency concept to a mutually acceptable cross-evaluation efficiency. Two numerical examples illustrate the power and suitability of the proposed algorithm to improve the cross-efficiency scores of the DMUs.
Important Date
  • Conference Date

    Jul 09

    2016

    to

    Jul 10

    2016

  • Jul 06 2016

    Draft paper submission deadline

  • Jul 06 2016

    Final Paper Deadline

  • Jul 10 2016

    Registration deadline

Sponsored By
湖北众科地质和环境技术服务中心
Contact Information