| dc.contributor.author |
Agarwal, Shivi |
|
| dc.contributor.author |
Mathur, Trilok |
|
| dc.date.accessioned |
2023-08-08T05:29:10Z |
|
| dc.date.available |
2023-08-08T05:29:10Z |
|
| dc.date.issued |
2020 |
|
| dc.identifier.uri |
http://solidstatetechnology.us/index.php/JSST/article/view/3752 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11213 |
|
| dc.description.abstract |
This study proposes a benchmarking approach where the missing data point denoted by fuzzy numbers and aims to outstretch the crisp Data Envelopment Analysis (DEA) model in a fuzzy system. The fuzzy DEA integrated model is capable for benchmarking of homogeneous decision making units (DMUs) with the missing data as non-symmetrical fuzzy data in terms of fuzzy efficiency. A numerical illustration is presented as a case study to explain the integrated fuzzy DEA model. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Solid State Technology |
en_US |
| dc.subject |
Mathematics |
en_US |
| dc.subject |
Non-Symmetrical Fuzzy Data |
en_US |
| dc.subject |
Data Envelopment Analysis (DEA) |
en_US |
| dc.title |
A Benchmarking Approach with Missing Values Using Data Envelopment Analysis for Non-Symmetrical Fuzzy Data |
en_US |
| dc.type |
Article |
en_US |