Decision-making with z-axiomatic design


AYDOĞAN S., AKAY D., Kremer G. E., Gunay E. E., Park K., BORAN F. E.

2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019, Florida, United States Of America, 18 - 21 May 2019 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Florida
  • Country: United States Of America
  • Keywords: Axiomatic design, Decision-making, Uncertainty, Z-number
  • Hacettepe University Affiliated: No

Abstract

© 2019 IISE Annual Conference and Expo 2019. All rights reserved.Since knowledge in the real world is not completely credible, the reliability of information when decision-making must be considered. Z-number, a new concept related to reliability of the information, has two fuzzy components (A, B); the former is the value of the variable, and the latter is the reliability of the former. Axiomatic Design, providing a systematic search in design space to determine the best design alternative, has been widely applied in decision-making. In this paper, we extend Axiomatic Design by representing the reliability information with a Z-number, and demonstrate the applicability of the proposed method in a case study.