Method for Comprehensive Evaluation of Urban Smart Traffic Management System Based on the 2-tuple Linguistic Neutrosophic Numbers

• Published in: Neutrosophic sets and systems Vol. 53; pp. 75 - 96
• Main Authors: Liu, Yaping, Wang, Huicong, Li, Dong, Hou, Yanqi
• Format: Journal Article
• Language: English
• Published: Neutrosophic Sets and Systems 01.01.2023; University of New Mexico
• Subjects: Big data; China; Decision-making; Economic development; gra method; Methods; multiple attribute decision making; Statistics; urban smart traffic management system; China
• ISSN: 2331-6055; 2331-608X
• DOI: 10.5281/zenodo.7535963

In the process of the rapid development of big data and the Internet of Things in recent years, in order to create a "strong transportation" construction goals, intelligent transportation projects have become the key carrier of the development of China's transportation industry, the national and local transportation level, economic development and the improvement of people's living standards have an important role. However, although the construction of intelligent transportation projects around the world is in full swing, but the actual operation effect is not ideal. The comprehensive evaluation of urban smart traffic management systems (USTMS) is a classical MADM issues. In this paper, the MADM issues are studied with defined 2-tuple linguistic neutrosophic sets (2TLNSs). Then, connected traditional GRA with 2TLNSs, the 2TLNN-GRA method is elaborated for MADM. Finally, an example for comprehensive evaluation of USTMS was given and some comparisons was elaborated the 2TLNN-GRA method Keywords: Multiple attribute decision making (MADM); 2TLNS; GRA method; Urban smart traffic management system(USTMS)