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Non-additive fuzzy regression applied to establish flexible pavement present serviceability index

Authors: Jia-Ruey Chang; Gwo-Hshiung Tzeng; Ching-Tsung Hung; Hsin-Hwa Lin;

Non-additive fuzzy regression applied to establish flexible pavement present serviceability index

Abstract

The main objective of pavement management is to provide comfortable roads for the users. The present serviceability index (PSI) is established to determine the quality of the road. Present serviceability rating (PSR), rutting, roughness and pavement distress data, etc. for the provincial and county road in Taiwan were collected in this study. Considering the interaction among parameters which deteriorate pavement condition, the fuzzy integral method is used to establish the non-interactive integrated performance value. Because the conventional regression model cannot deal with the fuzzy characteristic existed in the PSR, fuzzy regression model is used to establish the PSI relationship between subjective rating (PSR) and objective survey (parameters).

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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