Modeling of car seat comfort evaluation system based on ANFIS

LIU Wei; LIU Jun; XUAN Shan-shan; FANG Rui; DANG Xue-mang

doi:10.13873/J.1000-9787(2016)08-0056-04

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Modeling of car seat comfort evaluation system based on ANFIS

更新时间：2025-09-11

- Modeling of car seat comfort evaluation system based on ANFIS
- Vol. 35, Issue 8, Pages: 56-59(2016)
- 作者机构：
  
  1. 宁波大学机械工程与力学学院
  2. 中国汽车技术研究中心
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)08-0056-04
  CLC： U463.836;TP183
- Published：2016
- 稿件说明：
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[1]刘威,刘军,轩闪闪,方锐,党雪芒.基于ANFIS的汽车座椅舒适度评价系统建模[J].传感器与微系统,2016,35(08):56-59.

LIU Wei, LIU Jun, XUAN Shan-shan, et al. Modeling of car seat comfort evaluation system based on ANFIS[J]. 2016, 35(8): 56-59.
[1]刘威,刘军,轩闪闪,方锐,党雪芒.基于ANFIS的汽车座椅舒适度评价系统建模[J].传感器与微系统,2016,35(08):56-59. DOI： 10.13873/J.1000-9787(2016)08-0056-04.

LIU Wei, LIU Jun, XUAN Shan-shan, et al. Modeling of car seat comfort evaluation system based on ANFIS[J]. 2016, 35(8): 56-59. DOI： 10.13873/J.1000-9787(2016)08-0056-04.

摘要

由于汽车座椅舒适性评价的主观性和复杂性

国内外学者多采用主客观评价相结合的方式构建评价系统。通过改善主观评价的实验流程、精选表征座椅的特征参数、调整实际打分等前处理手段

采用自适应神经网络模糊推理系统（ANFIS）技术成功建立了关野型（Sugeno）评价系统

实现了座椅的舒适性评级。研究方法可推广到长时舒适性和动态舒适性的研究上。

Abstract

Because of subjectivity and complexity of car seat comfort evaluation

scholars construct evaluation system by a combination of subjective and objective evaluation. By some pre-treatment methods such as improving the flow of subjective evaluation experiments

selection of parameters characterizing feature of the seat and adjusting the actual scores

and adaptive fuzzy neural network technology

a Sugeno type evaluation model is successfully established

achieving the ratings of seat comfort. Research method can be extended to the study of long comfort and dynamic comfort.

关键词

Keywords

references

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基于ANFIS的激光陀螺消噪处理研究 [J]. 冯小虎,朱家海,谢聂,赵明明. 传感器与微系统 . 2009(01)

基于人工神经网络的汽车座椅舒适度评价模型 [J]. 马佳,范智声,李飞飞,阮莹,苏强. 工业工程 . 2008(05)

一种自适应神经模糊运动规划器设计 [J]. 段群杰,张铭钧. 传感器与微系统 . 2007(02)

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An adaptive neural fuzzy network clothing comfort evaluation model and application in digital home [J] . Ruomei Wang,Heng Du,Fan Zhou,Daiguo Deng,Yu Liu. Multimedia Tools and Applications . 2014 (2)

Automobile seat comfort prediction: statistical model vs. artificial neural network [J] . M. Kolich,N. Seal,S. Taboun. Applied Ergonomics . 2004 (3)

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