Comprehensive annoyance modeling of forklift sound quality based on rank score comparison and multi-fuzzy analytic hierarchy process-Reference-Cited by-同舟云学术

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Comprehensive annoyance modeling of forklift sound quality based on rank score comparison and multi-fuzzy analytic hierarchy process

Published:2021-02 Issue: Volume:173 Page:107705
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Zhang Enlai,Zhuo Jianming,Hou Liang,Fu Chenghui,Guo Tao

Funder

Natural Science Foundation of Fujian Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference24 articles.

1. K-means clustering and neural network for evaluating sound level vibration in vehicle cabin;Nopiah;J Vib Control,2015

2. Sound quality prediction of vehicle interior noise and mathematical modeling using a back propagation neural network (BPNN) based on particle swarm optimization (PSO);Zhang;Meas Sci Technol,2016

3. Sound feature space effects on the performance of annoyance evaluation model based on support vector machine;Sun;Appl Acoust,2019

4. Psychoacoustic analysis of power windows sounds: Correlation between subjective and objective evaluations;Volandri;Appl Acoust,2018

5. Development of sound-quality indexes in a car cabin owing to the acoustic characteristics of absorption material;Lee;Appl Acoust,2019

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