Recommendation agent behaviour with dynamic fuzzy petri net in E-learning environment

Juei Nan Chen, Yueh Min Huang, William C. Chu, Hewijin Christine Jiau

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper presents an agent-based e-learning environment to facilitate learners achieving his learning target. The agent can generate a recommendation sequence to the learner based on Dynamic Fuzzy Petri Net (DFPN). Besides this, we suggest that each course should define the study intensity function to normalise different exercise-grade criteria. In DFPN, each learner should receive different learning suggestions based on evaluation degree of truth of any proposition.

Original languageEnglish
Pages (from-to)227-242
Number of pages16
JournalInternational Journal of Applied Systemic Studies
Issue number2
Publication statusPublished - 2010 Jul

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Information Systems and Management


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