Liu, H.C., Lui, L. and Lin, Q.L. (2013) Fuzzy Failure Mode and Effects Analysis Using Fuzzy Evidential Reasoning and Belief Rule-Based Methodology. IEEE Transections on Reliability. 62, 23-36.
https://doi.org/10.1109/TR.2013.2241251

has been cited by the following article:

• TITLE: Applying Fuzzy Rule-Based System on FMEA to Assess the Risks on Project-Based Software Engineering Education

  AUTHORS: Issarapong Khuankrue, Fumihiro Kumeno, Yutaro Ohashi, Yasuhiro Tsujimura

  KEYWORDS: Risk Assessment, Project-Based Learning, Failure Mode and Effects Analysis, Fuzzy Rule-Based System, Intelligent Agents

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.10 No.7, June 23, 2017

  ABSTRACT: Project-based learning has been in widespread use in education. However, project managers are unaware of the students’ lack of experience and treat them as if they were professional staff. This paper proposes the application of a fuzzy failure mode and effects analysis model for project-based software engineering education. This method integrates the fuzzy rule-based system with learning agents. The agents construct the membership function from historical data. Data are processed by a clustering process that facilitates the construction of the membership function. It helps students who lack experience in risk assessment to develop their expertise in that skill. The paper also suggests a classification technique for a fuzzy rule-based system that can be used to judge risk based on a fuzzy inference system. The student project will thus be further enhanced with respect to risk assessment. We then discuss the design of experiments to verify the proposed model.