Neutrosophic model for vehicular malfunction detection

Authors

  • Marwa Elshahawy Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University, Mansoura 3551 6,
  • Nada A. Nabeeh Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University, Mansoura 3551 6, Egypt;
  • Ahmed Aboelfetouh Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University, Mansoura 3551 6, Egypt;
  • Hazem M. El-Bakry Information Systems Department, Faculty of Computers and Information Sciences, Mansoura University, Mansoura 3551 6, Egypt;

Keywords:

: internet of vehicular things (IOVT), vehicular malfunction detection, multi-criteria decision making (MCDM), neutrosophic theory, analytical hierarchy process (AHP), TOPSIS.

Abstract

The internet of vehicular things (IOVT) is an important modern technology that offers
many advantages and facilities; however, if vehicular malfunctions are not detected in a timely
manner, it may cause many dangers and serious accidents. To achieve safe self-driving vehicles,
safety and security measures must be taken. In this work, a safety and security model are proposed
to evaluate the level of vehicular malfunctions and determine the corresponding danger in terms of
road safety. The proposed model presents the optimal actions and alternatives for self-driving
vehicles to avoid crises. The objective of this study to develop a hybrid model for multicriteria
decision-making problems using neutrosophic theory to handle vehicular malfunctions that occur
in the IOVT environment under uncertain conditions and conflicting information. In addition, the
technique for order of preference by similarity to the ideal solution is used to prioritize the
corresponding alternatives in the case of vehicular malfunction. A case study considering four
likely vehicular defects is presented to ensure the applicability and availability of the proposed
model.

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Published

2023-01-01

Issue

Vol. 53 (2023): Neutrosophic Sets and Systems

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Marwa Elshahawy, Nada A. Nabeeh, Ahmed Aboelfetouh, & Hazem M. El-Bakry. (2023). Neutrosophic model for vehicular malfunction detection. Neutrosophic Sets and Systems, 53, 139-156. http://fs.unm.edu/nss8/index.php/111/article/view/3219

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