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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2020
عنوان انگلیسی مقاله:
Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment
ترجمه فارسی عنوان مقاله:
ارزیابی تراکم ترافیک با استفاده از روش ORESTE در محیط زبانی فازی با سلسله مراتب مضاعف
منبع:
Sciencedirect - Elsevier - Applied Soft Computing Journal, 86 (2020) 105864: doi:10:1016/j:asoc:2019:105864
نویسنده:
Xindi Wang, Xunjie Gou, Zeshui Xu ∗
چکیده انگلیسی:
With the new generation of information technology development and the promotion of the Internet,
local governments turn their attention to the construction of intelligent transportation systems. More
and more cities began building intelligent transportation which has been widely used to monitor urban
traffic. Experts can evaluate urban traffic congestion based on the information collected from the big
data of intelligent transportation. In recent two years, double hierarchy hesitant fuzzy linguistic term
set has been widely used to depict explicit evaluation information, which is straightforward and broadspectrum.
When evaluating traffic congestion in a city, decision makers can utilize double hierarchy
hesitant fuzzy linguistic term sets to express vague information. Moreover, the ORESTE method is an
applicative method which can select a reliable alternative by subdividing alternatives and reduce the
loss of information in the conversion process. In this paper, we propose a double hierarchy hesitant
fuzzy linguistic ORESTE method and a new score function of double hierarchy hesitant fuzzy linguistic
term set. The method raises a new perspective to reduce the error from other methods and the new
score function derives a robust decision-making result. Then, we apply the double hierarchy hesitant
fuzzy linguistic ORESTE method to solve a practical case involving choosing the congested city by
evaluating the 5S traffic congestion model. Finally, we compare the double hierarchy hesitant fuzzy
linguistic ORESTE method with other methods such as the classical ORESTE method and the double
hierarchy hesitant fuzzy linguistic MULTIMOORA to illustrate the advantages of our method.
Keywords: Double hierarchy hesitant fuzzy linguistic | term sets | Double hierarchy hesitant fuzzy linguistic | ORESTE method | Score function | Traffic congestion
قیمت: رایگان
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