Method for Comprehensive Evaluation of Urban Smart Traffic Management System Based on the 2-tuple Linguistic Neutrosophic Numbers
Keywords:
Multiple attribute decision making (MADM); 2TLNS; GRA method; Urban smart traffic management system(USTMS)Abstract
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
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