Performance evaluation of constructed facilities through linguistic judgment

Nang-Fei Pan, R. J. Dzeng, M. D. Yang

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

Abstract

It is often difficult to estimate exact probabilities of occurrence of fault events for the use in the conventional fault tree analysis (FTA) when failure data are insufficient or fault events are vague such as human error. A hybrid approach utilizing fuzzy sets and possibility theory is presented to overcome this problem. In the approach, failure possibilities of imprecise events are characterized by fuzzy sets to translate expert subjective judgments while fuzzy fault rates are derived from fuzzy possibility scores based on a modified possibility transformation function. An example of beam failure is presented to demonstrate the capability of the approach that can assist safety engineers to effectively assess fault possibilities and better analyze building performance.

Original languageEnglish
Title of host publicationIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages827-831
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China
Duration: 2009 Dec 82009 Dec 11

Publication series

NameIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

Other

OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
CountryChina
CityHong Kong
Period09-12-0809-12-11

All Science Journal Classification (ASJC) codes

  • Management of Technology and Innovation
  • Information Systems and Management
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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    Pan, N-F., Dzeng, R. J., & Yang, M. D. (2009). Performance evaluation of constructed facilities through linguistic judgment. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 827-831). [5372902] (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2009.5372902