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Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data

Neural computing & applications (Print), 2018
B. Ebrahimi   +3 more
semanticscholar   +1 more source

Innovations in research and clinical care using patient‐generated health data

Ca-A Cancer Journal for Clinicians, 2020
H S L Jim   +2 more
exaly  

DEA cross-efficiency evaluation and ranking method based on interval data

Annals of Operations Research, 2017
Yu Yu, Weiwei Zhu, Qian Zhang
semanticscholar   +1 more source

Basic statistical methods for interval data

2005
Real world data analysis is often affected by different type of errors as: measurement errors, computation errors, imprecision related to the method adopted for estimating the data (parameters). The uncertainty in the data, which is strictly connected to the above errors, may be treated by considering, rather than a single value for each data, the ...
Federica Gioia, Carlo N. Lauro
openaire   +2 more sources

Measurement of returns-to-scale using interval data envelopment analysis models

Computers & industrial engineering, 2017
A. Hatami-Marbini   +3 more
semanticscholar   +1 more source

A reliable KNN filling approach for incomplete interval-valued data

Engineering Applications of Artificial Intelligence, 2021
Xiaobo Qi, Husheng Guo, Wenjian Wang
exaly  

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