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BibTex Citation Data :
@article{JOIV405, author = {Dahlan Abdullah and - Hartono and Cut Ita Erliana}, title = {Hesitant Fuzzy-Stochastic Data Envelopment Analysis (HF-SDEA) Model for Benchmarking}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {5}, number = {1}, year = {2021}, keywords = {Data envelopment analysis; dynamic data envelopment analysis; stochastic data envelopment analysis; hesitant fuzzy.}, abstract = {The Data Envelopment Analysis (DEA) method is a method commonly used in benchmarking. The Dynamic Data Envelopment Analysis (DDEA) method was proposed to improve the DEA method in the benchmarking process. The DDEA method proposed can determine the effectiveness of the Decision Making Unit (DMU). The disadvantage of the DDEA model is that it cannot handle problems that involve benchmarking for stochastic data. To improve the DDEA method, the Stochastic Data Envelopment Analysis (SDEA) method is proposed which can be used for benchmarking involving stochastic data. The SDEA method itself has weaknesses in dealing with noise and uncertainty problems that will appear in the assessment process. The purpose of the research conducted by the researcher was to use the Hesitant Fuzzy method in optimizing the SDEA method so that the Hesitant Fuzzy model - Stochastic Data Envelopment Analysis (HF-SDEA) could be carried out benchmarking process in a situation where the assessment contained many elements of uncertainty. The results of this study are benchmarking methods that can do benchmarking for stochastic data on conditions that contain elements of uncertainty.}, issn = {2549-9904}, pages = {94--98}, doi = {10.30630/joiv.5.1.405}, url = {http://joiv.org/index.php/joiv/article/view/405} }
Refworks Citation Data :
@article{{JOIV}{405}, author = {Abdullah, D., Hartono, -., Erliana, C.}, title = {Hesitant Fuzzy-Stochastic Data Envelopment Analysis (HF-SDEA) Model for Benchmarking}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {5}, number = {1}, year = {2021}, doi = {10.30630/joiv.5.1.405}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.