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International Journal of Neutrosophic Science
Volume 21 , Issue 3, PP: 56-63 , 2023 | Cite this article as | XML | Html |PDF

Title

Neutrosophic Multinominal Logistic Regression Technique for Optimizing Adaptive Reuse of Historical Castles

  Rama Hussen Omar 1 * ,   Mohamed Najeb Kayali 2 ,   Mohamed Bisher Zeina 3

1  Faculty of Architectural Engineering, University of Aleppo, Aleppo, Syria
    (rama.hseen.omar@gmail.com)

2   Department of Mathematical Statistics, University of Aleppo, Aleppo, Syria
    (mohamed.najebkayali@gmail.com)

3  Department of Mathematical Statistics, University of Aleppo, Aleppo, Syria
    (bisher.zeina@gmail.com)

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Doi   :   https://doi.org/10.54216/IJNS.210305

Received: January 23, 2023 Revised: April 22, 2023 Accepted: June 18, 2023

Abstract :

Defining and utilizing Neutrosophic Multinomial Logistic Regression (NMLR) is significant in architecture because it introduces a novel approach to prioritizing the optimal alternative for adaptively reusing a historic building. This is particularly crucial in post-conflict recovery. NMLR presents an intelligent classification system and decision-making tool that optimizes the evaluation process for adaptive reuse projects, even under conditions of uncertainty. The integration of Neutrosophic sets and digital technologies provides decision-makers with a more accurate and reliable tool to make rational decisions regarding functional spaces reuse. The effectiveness of this approach is demonstrated through a case study of the Castle of Aleppo. The study determined that the most suitable alternative for the castle is a multi-purpose facility that caters to tourism. This approach can be adapted to various restoration projects, and the assessment of proposed alternatives can be customized according to the weight of the criteria by creating desktop application which contributes to the sustainability and improvement of post-disaster reconstruction efforts.

Keywords :

Multi Criteria Decision Making; Neutrosophic; Multi-Nominal Logistic Regression; Adaptive Reuse; Historic Building; Machine learning; Castles; Building Information Modelling

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Cite this Article as :
Style #
MLA Rama Hussen Omar, Mohamed Najeb Kayali , Mohamed Bisher Zeina. "Neutrosophic Multinominal Logistic Regression Technique for Optimizing Adaptive Reuse of Historical Castles." International Journal of Neutrosophic Science, Vol. 21, No. 3, 2023 ,PP. 56-63 (Doi   :  https://doi.org/10.54216/IJNS.210305)
APA Rama Hussen Omar, Mohamed Najeb Kayali , Mohamed Bisher Zeina. (2023). Neutrosophic Multinominal Logistic Regression Technique for Optimizing Adaptive Reuse of Historical Castles. Journal of International Journal of Neutrosophic Science, 21 ( 3 ), 56-63 (Doi   :  https://doi.org/10.54216/IJNS.210305)
Chicago Rama Hussen Omar, Mohamed Najeb Kayali , Mohamed Bisher Zeina. "Neutrosophic Multinominal Logistic Regression Technique for Optimizing Adaptive Reuse of Historical Castles." Journal of International Journal of Neutrosophic Science, 21 no. 3 (2023): 56-63 (Doi   :  https://doi.org/10.54216/IJNS.210305)
Harvard Rama Hussen Omar, Mohamed Najeb Kayali , Mohamed Bisher Zeina. (2023). Neutrosophic Multinominal Logistic Regression Technique for Optimizing Adaptive Reuse of Historical Castles. Journal of International Journal of Neutrosophic Science, 21 ( 3 ), 56-63 (Doi   :  https://doi.org/10.54216/IJNS.210305)
Vancouver Rama Hussen Omar, Mohamed Najeb Kayali , Mohamed Bisher Zeina. Neutrosophic Multinominal Logistic Regression Technique for Optimizing Adaptive Reuse of Historical Castles. Journal of International Journal of Neutrosophic Science, (2023); 21 ( 3 ): 56-63 (Doi   :  https://doi.org/10.54216/IJNS.210305)
IEEE Rama Hussen Omar, Mohamed Najeb Kayali, Mohamed Bisher Zeina, Neutrosophic Multinominal Logistic Regression Technique for Optimizing Adaptive Reuse of Historical Castles, Journal of International Journal of Neutrosophic Science, Vol. 21 , No. 3 , (2023) : 56-63 (Doi   :  https://doi.org/10.54216/IJNS.210305)
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