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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2020 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728198125
DOIs
Publication statusPublished - 2020 Nov 4
Event2020 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020 - Hsinchu, Taiwan
Duration: 2020 Nov 42020 Nov 7

Publication series

Name2020 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020

Conference

Conference2020 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020
CountryTaiwan
CityHsinchu
Period2020/11/042020/11/07

Keywords

  • Adaptive Network Based Fuzzy Inference System (ANFIS)
  • Autonomous Vehicles (AV)
  • Multiple Criteria Decision Making (MCDM)
  • Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)

ASJC Scopus subject areas

  • Applied Mathematics
  • Control and Optimization
  • Logic

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