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ORCIDMaryam Eghbali-Zarch
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2020 – today
- 2024
[j8]Maryam Eghbali-Zarch, Sara Masoud:
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review. Artif. Intell. Medicine 151: 102868 (2024)- [j7]Nazanin Ghaemi-Zadeh
, Maryam Eghbali-Zarch:
Evaluation of business strategies based on the financial performance of the corporation and investors' behavior using D-CRITIC and fuzzy MULTI-MOORA techniques: A real case study. Expert Syst. Appl. 247: 123183 (2024) - 2023
- [j6]Maryam Eghbali-Zarch, S. Zeynab Zabihi, Sara Masoud:
A novel fuzzy SECA model based on fuzzy standard deviation and correlation coefficients for resilient-sustainable supplier selection. Expert Syst. Appl. 231: 120653 (2023) - 2022
- [j5]Maryam Eghbali-Zarch, Reza Tavakkoli-Moghaddam, Amir Azaron, Kazem Dehghan-Sanej:
An extended ϵ-constraint method for a multiobjective finite-horizon Markov decision process. Int. Trans. Oper. Res. 29(5): 3131-3160 (2022) - [j4]Maryam Eghbali-Zarch, Reza Tavakkoli-Moghaddam, Fatemeh Esfahanian, Sara Masoud:
Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes. Medical Biol. Eng. Comput. 60(8): 2423-2444 (2022) - 2021
- [j3]Kazem Dehghan-Sanej, Maryam Eghbali-Zarch, Reza Tavakkoli-Moghaddam, Samaneh Sajadi, Seyed Jafar Sadjadi:
Solving a new robust reverse job shop scheduling problem by meta-heuristic algorithms. Eng. Appl. Artif. Intell. 101: 104207 (2021) - [c1]Fatemeh Taghipour, Reza Tavakkoli-Moghaddam, Maryam Eghbali-Zarch:
Home Healthcare Routing and Scheduling Problem During the COVID-19 Pandemic. APMS (2) 2021: 373-382
2010 – 2019
- 2019
- [j2]Maryam Eghbali-Zarch, Ata Allah Taleizadeh, Reza Tavakkoli-Moghaddam:
Pricing decisions in a multiechelon supply chain under a bundling strategy. Int. Trans. Oper. Res. 26(6): 2096-2128 (2019) - 2018
- [j1]Maryam Eghbali-Zarch, Reza Tavakkoli-Moghaddam, Fatemeh Esfahanian, Mohammad Mehdi Sepehri, Amir Azaron:
Pharmacological therapy selection of type 2 diabetes based on the SWARA and modified MULTIMOORA methods under a fuzzy environment. Artif. Intell. Medicine 87: 20-33 (2018)
Coauthor Index
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