scholarly journals A Method for Solving 0-1 Multiple Objective Programming Problem Using Data Envelopment Analysis Technique

2004 ◽  
Vol 9 (2) ◽  
pp. 147-156
Author(s):  
G. R. Jahanshahloo ◽  
F. Lotfi ◽  
N. Shoja ◽  
G. Tohidi
Keyword(s):  
Data Envelopment Analysis ◽  
Programming Problem ◽  
Multiple Objective Programming ◽  
Multiple Objective ◽  
Data Envelopment ◽  
Analysis Technique ◽  
Objective Programming ◽  
Using Data

A FUZZY MULTIPLE OBJECTIVE PROGRAMMING TO DEA WITH IMPRECISE DATA

2004 ◽  
Vol 12 (05) ◽  
pp. 591-600 ◽  
Author(s):  
JING-RUNG YU ◽  
YEN-CHEN TZENG ◽  
GWO-HSHIUNG TZENG ◽  
TZU-YI YU ◽  
HER-JIUN SHEU
Keyword(s):  
Multiple Objective Programming ◽  
Programming Approach ◽  
Multiple Objective ◽  
Data Envelopment ◽  
Imprecise Data ◽  
Data Set ◽  
Discriminating Power ◽  
Exact Data ◽  
Programming Techniques ◽  
Objective Programming

A fuzzy multiple objective programming approach to data envelopment analysis (DEA) of imprecise data is proposed in this paper. The problems involving a mixture of imprecise and exact data for all decision making units (DMUs) could be resolved and the discriminating power of imprecise DEA (IDEA) is enhanced. Although Cooper et al. have developed IDEA to overcome the issues of imprecise data, the discriminating power is not satisfactory since too many efficient DMUs are derived. Chiang and Tzeng's approach using fuzzy multiple objective programming techniques is adopted to enhance the discriminating power of IDEA. The same data set of Cooper et al. is employed to illustrate the merit of our approach.

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