An application of fuzzy soft sets to a real-life problem: Classification of wood materials to prevent fire-related injuries and deaths

KORKMAZ E., Özcan C., Korkmaz M.

Applied Soft Computing, vol.132, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 132
  • Publication Date: 2023
  • Doi Number: 10.1016/j.asoc.2022.109875
  • Journal Name: Applied Soft Computing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC
  • Keywords: Weighted fuzzy soft set, Negative attribute, Decision-making, Minimal fire damage
  • Hacettepe University Affiliated: Yes


© 2022 Elsevier B.V.A variety of methods are used to determine the health and life-threatening consequences of wood combustion. However, these methods suffer from some limitations. They analyze the data obtained during combustion individually rather than evaluating them together. Furthermore, they do not take into account the fact that some of the parameters that influence the process can be positive, while others can be negative, or that they may not be of equal importance. In this study, we present a fuzzy soft set-based algorithm to handle such issues. The proposed algorithm can also deal with problems arising when the membership values of the objects are close together. It also contributes a novel approach to the literature regarding the selection of wood materials that are suitable for use in fire-prone areas. In order to demonstrate the applicability of our approach we performed an experiment and analyzed wood materials, which are frequently used in wooden structures, according to parameters that may affect human life and health. We also highlight how the present work contributes to the state-of-the-art by interpreting our results using a method that already exists in the literature.