An ANFIS Based Derivations of Inference Rules for Users' Adoptions of Autonomous Vehicles

Chi Yo Huang, Yung Cheng Lin, Yu Feng Lu, Liang Chieh Wang, Ying Ting Kuo, Jen Chieh Cheng, Yu Sun

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Autonomous Vehicles (AVs) have great potential and can improve transportation efficiency and safety through minimal manual intervention and optimized traffic control systems. Advances in artificial intelligence and real-Time data processing technology have promoted the development of practical AVs. AV manufacturers are trying to understand the potential factors that may affect consumers' acceptance of autonomous vehicles. However, there is very little research on autonomous vehicles and consumers. In order to understand these factors, this research will use UTAUT 2, as a research framework to predict consumer intentions and behaviors. This research will first review the literature, invite experts to define and evaluate appropriate criteria and dimensions, and use the ANFIS is used to derive the decision rules, and the weights of the corresponding rules are compared. The resulting analysis can be used as a basis for predicting consumer acceptance of AVs in the future.

原文英語
主出版物標題2020 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728198125
DOIs
出版狀態已發佈 - 2020 十一月 4
事件2020 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020 - Hsinchu, 臺灣
持續時間: 2020 十一月 42020 十一月 7

出版系列

名字2020 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020

會議

會議2020 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020
國家臺灣
城市Hsinchu
期間2020/11/042020/11/07

ASJC Scopus subject areas

  • Applied Mathematics
  • Control and Optimization
  • Logic

指紋 深入研究「An ANFIS Based Derivations of Inference Rules for Users' Adoptions of Autonomous Vehicles」主題。共同形成了獨特的指紋。

引用此