Song Lianlian

Doctoral Degree in Management

With Certificate of Graduation for Doctorate Study

中国科学技术大学,香港城市大学

Personal Information

Gender:Female
Business Address:经管楼926
E-Mail:

VIEW MORE
Home > Scientific Research > Paper Publications

An improvement in DEA cross-efficiency aggregation based on the Shannon entropy

Date of Publication:2018-03-01 Hits:

Affiliation of Author(s):经济与管理学院
Journal:INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
Key Words:cross-efficiency aggregation weights variance coefficient method
Abstract:This paper improves a recently proposed Data Envelopment Analysis (DEA) cross-efficiency aggregation method based on the Shannon entropy. The weights for determining cross-efficiency are derived from minimizing the square distance of weighted cross-efficiency and weighted CCR efficiency. Our calculation example indicates that this method may produce inappropriate weights, which is significantly inconsistent with a widely accepted viewpoint. A variance coefficient method based on the Shannon entropy is presented to overcome the drawbacks of the DEA cross-efficiency aggregation method. In this study, comparisons of weights and cross-efficiency scores are provided.
ISSN No.:0969-6016
Translation or Not:no
Date of Publication:2018-03-01
Co-author:Liu, Fan
Correspondence Author:Liu, Fan,Song Lianlian