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Nursah Alkan
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2020 – today
- 2025
[j9]Nursah Alkan
, Umut Aydin, Akin Menekse
, Cengiz Kahraman
:
Comparison of the performances of artificial intelligence bots using continuous intuitionistic fuzzy evaluation based on distance from average solution method. Eng. Appl. Artif. Intell. 161: 112033 (2025)
[j8]Nursah Alkan, Cengiz Kahraman
:
Prioritization of Human-Centric and Sustainable City Criteria by Proportional Spherical Fuzzy Analytic Hierarchy Process. Symmetry 17(2): 204 (2025)- 2024
[j7]Nursah Alkan
, Cengiz Kahraman
:
CODAS extension using novel decomposed Pythagorean fuzzy sets: Strategy selection for IOT based sustainable supply chain system. Expert Syst. Appl. 237(Part C): 121534 (2024)- 2023
[j6]Nursah Alkan
, Cengiz Kahraman:
Continuous intuitionistic fuzzy sets (CINFUS) and their AHP&TOPSIS extension: Research proposals evaluation for grant funding. Appl. Soft Comput. 145: 110579 (2023)
[j5]Nursah Alkan, Cengiz Kahraman:
Prioritization of Supply Chain Digital Transformation Strategies Using Multi-Expert Fermatean Fuzzy Analytic Hierarchy Process. Informatica 34(1): 1-33 (2023)- 2022
[j4]Nursah Alkan
, Cengiz Kahraman
:
An intuitionistic fuzzy multi-distance based evaluation for aggregated dynamic decision analysis (IF-DEVADA): Its application to waste disposal location selection. Eng. Appl. Artif. Intell. 111: 104809 (2022)
[j3]Nursah Alkan
, Cengiz Kahraman:
Circular intuitionistic fuzzy TOPSIS method: pandemic hospital location selection. J. Intell. Fuzzy Syst. 42(1): 295-316 (2022)
[j2]Nursah Alkan, Cengiz Kahraman:
Evaluation of Success Factors and Challenges of Smart Agriculture Using Interval Valued Intuitionistic Fuzzy AHP. J. Multiple Valued Log. Soft Comput. 39(5-6): 485-503 (2022)- 2021
[j1]Nursah Alkan
, Cengiz Kahraman:
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method. Appl. Soft Comput. 110: 107653 (2021)

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