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A Fuzzy Neural Network on the Internet Addiction for University Students in China

  • Chien-Hua Wang
  • Jich-Yan TsaiEmail author
  • I-Hsiang Lin
  • Chin-Tzong Pang
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 82)

Abstract

The invention of the Internet makes information sharing and transmission more and more convenient and popular in our daily lives. However, excessive dependence over the Internet turning into addictions often results in serious problems affecting one physically, mentally or interpersonally. We attribute this Internet addiction as an impulse-control disorder, i.e., Internet Obsessive Compulsive Disorder (IOCD). Comparing to teenagers or adults, university students have higher chances to access the Internet for class assignments or projects. Owing to this, our study is to find causes and their relations among various reasons and aspects through the literature to deduce certain rules for Internet Obsessive Compulsive Disorder. We apply Fuzzy Neural Network (FNN) to determine the importance degree of each criterion after collecting data through questionnaires. This study concludes that the threshold as to where the loss of control starts might serve as means for further research to health-care professionals.

Keywords

Internet addiction Internet obsessive compulsive disorder (IOCD) Fuzzy neural network (FNN) 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Chien-Hua Wang
    • 1
  • Jich-Yan Tsai
    • 2
    Email author
  • I-Hsiang Lin
    • 3
  • Chin-Tzong Pang
    • 4
  1. 1.School of ManagementFuJian University of TechnologyFuzhouChina
  2. 2.Department of Information ManagementUniversity of Kang NingTaipeiTaiwan
  3. 3.School of Economics and ManagementXiamen University of TechnologyXiamenChina
  4. 4.Department of Information Management, and Innovation Center for Big Data and Digital ConvergenceYuan Ze UniversityTaoyuanTaiwan

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