scholarly journals Efficiencya Assessment and Target Setting Using a Fully Fuzzy DEA Approach

2020 ◽  
Vol 22 (4) ◽  
pp. 1056-1072 ◽  
Author(s):  
Manuel Arana-Jiménez ◽  
M. Carmen Sánchez-Gil ◽  
Sebastián Lozano
Keyword(s):  
Target Setting ◽  
Dea Approach ◽  
Fully Fuzzy Dea ◽  
Fuzzy Dea

Do Digital and Communication Technologies Improve Smart Ports? A Fuzzy DEA Approach

2019 ◽  
Vol 15 (10) ◽  
pp. 5674-5681
Author(s):  
Rosalia Castellano ◽  
Ugo Fiore ◽  
Gaetano Musella ◽  
Francesca Perla ◽  
Gennaro Punzo ◽  
...  
Keyword(s):  
Communication Technologies ◽  
Dea Approach ◽  
Fuzzy Dea ◽  
Smart Ports

scholarly journals A New Evaluation for Solving the Fully Fuzzy Data Envelopment Analysis with Z-Numbers

Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 384 ◽  
Author(s):  
Ali Namakin ◽  
Seyyed Najafi ◽  
Mohammad Fallah ◽  
Mehrdad Javadi
Keyword(s):  
Data Envelopment Analysis ◽  
Simple Structure ◽  
Data Envelopment ◽  
Imprecise Data ◽  
New Approach ◽  
Fuzzy Data Envelopment Analysis ◽  
Fuzzy Input ◽  
Fully Fuzzy Dea ◽  
Fuzzy Dea ◽  
Real World Problems

There are numerous models for solving the efficiency evaluation in data envelopment analysis (DEA) with fuzzy input and output data. However, because of the limitation of those strategies, they cannot be implemented for solving fully fuzzy DEA (FFDEA). Furthermore, in real-world problems with imprecise data, fuzziness is not sufficient to consider, and the reliability of the information is also very vital. To overcome these flaws, this paper presented a new method for solving the fully fuzzy DEA model where all parameters are Z-numbers. The new approach is primarily based on crisp linear programming and has a simple structure. Moreover, it is proved that the only existing method to solve FFDEA with Z-numbers is not valid. An example is also presented to illustrate the efficiency of our proposed method and provide an explanation for the content of the paper.

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