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Mirpouya Mirmozaffari · Study

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Mirpouya Mirmozaffari

6 works· latest 2022· 2 institutionscluster: provisionalORCID 0000-0003-2679-0488

h-index6

i106

Citations363

Works here6

20

21

22

Most cited in this library

A Novel Machine Learning Approach Combined with Optimization Models for Eco-efficiency Evaluation2020 · 99 citations
A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation2021 · 71 citations
A Novel Hybrid Parametric and Non-Parametric Optimisation Model for Average Technical Efficiency Assessment in Public Hospitals during and Post-COVID-19 Pandemic2021 · 53 citations
Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty2022 · 49 citations
Developing a Novel Integrated Generalised Data Envelopment Analysis (DEA) to Evaluate Hospitals Providing Stroke Care Services2021 · 46 citations

Works

6 shown

Dynamic Performance Assessment of Hospitals by Applying Credibility-Based Fuzzy Window Data Envelopment Analysis

Healthcare·2022·4 authors·Open access

45citations

Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty

Sustainable Operations and Computers·2022·3 authors·Open access

49citations

A Novel Hybrid Parametric and Non-Parametric Optimisation Model for Average Technical Efficiency Assessment in Public Hospitals during and Post-COVID-19 Pandemic

Bioengineering·2021·5 authors·Open access

53citations

Developing a Novel Integrated Generalised Data Envelopment Analysis (DEA) to Evaluate Hospitals Providing Stroke Care Services

Bioengineering·2021·4 authors·Open access

46citations

A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation

International Journal of Energy Sector Management·2021·5 authors·Open access

71citations

A Novel Machine Learning Approach Combined with Optimization Models for Eco-efficiency Evaluation

Applied Sciences·2020·6 authors·Open access

99citations