Zagazig University Digital Repository
Home
Thesis & Publications
All Contents
Publications
Thesis
Graduation Projects
Research Area
Research Area Reports
Search by Research Area
Universities Thesis
ACADEMIC Links
ACADEMIC RESEARCH
Zagazig University Authors
Africa Research Statistics
Google Scholar
Research Gate
Researcher ID
CrossRef
Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy
Faculty
Computer Science
Year:
2025
Type of Publication:
ZU Hosted
Pages:
Authors:
Staff Zu Site
Abstract In Staff Site
Journal:
Sustainable Futures Elsevier
Volume:
Keywords :
Intelligent decision support framework , assessment , alternative
Abstract:
The transportation system has the most considerable negative impacts on the environment due to greenhouse gas (GHG) emissions, so various governments seek to reduce GHG emissions by using the best alternative vehicle technologies in the transportation system. This paper presents a framework for selecting the best alternative vehicle technology in Egypt to reduce the emission of GHG toward sustainability. Multi-criteria decision-making (MCDM) is used to deal with various conflicting criteria. This paper uses two MCDM methods: stepwise weight assessment ratio analysis (SWARA) and root assessment method (RAM). This study extends the SWARA and RAM methods under single-valued neutrosophic sets (SVNSs). The SVN-SWARA method is used to compute the criteria weights, and the SVN-RAM method is used to rank the alternatives. This study used seven main criteria, 40 sub-criteria, and 12 alternative vehicle technologies. The results in weights of criteria show that social criterion has the highest importance, and the market criterion has the lowest importance. The results in the rank of alternatives show the Electric vehicles (alternative) are the best choice for GHG emission reduction and for achieving sustainability in the transportation system in Egypt. The sensitivity and comparative analysis showed that the rank of alternatives is stable under different scenarios and that the proposed methodology is effective.
Author Related Publications
Department Related Publications
Karam mohamed goda, "Hybrid Gene Selection Methods of Microarray Data for Cancer Classification", International Journal of Graphics & Image Processing |Vol 2|issue 3|August 2012 , 2013
More
Saber Mohamed, "Evolving the Parameters of Differential Evolution using Evolutionary Algorithms", Springer, 2014
More
Saber Mohamed, "A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization", Springer, 2010
More
Saber Mohamed, "Differential Evolution with Multiple Strategies for Solving CEC2011 Real-world Numerical Optimization Problems", IEEE, 2011
More
Eman samir hasan sayed, "Dependency Identification technique for large scale optimization problems", IEEE, 2012
More
جامعة المنصورة
جامعة الاسكندرية
جامعة القاهرة
جامعة سوهاج
جامعة الفيوم
جامعة بنها
جامعة دمياط
جامعة بورسعيد
جامعة حلوان
جامعة السويس
شراقوة
جامعة المنيا
جامعة دمنهور
جامعة المنوفية
جامعة أسوان
جامعة جنوب الوادى
جامعة قناة السويس
جامعة عين شمس
جامعة أسيوط
جامعة كفر الشيخ
جامعة السادات
جامعة طنطا
جامعة بنى سويف