Hierarchical fuzzy decision support methodology for dangerous goods packaging design

Kata Vöröskői, Gergő Fogarasi, Péter Böröcz, L. Kóczy

Research output: Chapter


In the field of logistics packaging (industrial-, or even customer packaging), companies have to take decisions on determining the optimal packaging solutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on traditions and mainly consider the material and investment costs, but many other aspects are important as well. Traditional (two-valued) logic is not suitable for modeling this problem, so the application of a fuzzy signature approach was considered. In a previous paper a fuzzy signature modeling the packaging decision was suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. The aim of this study is to improve the model and apply it for dangerous goods packaging.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Number of pages7
Publication statusPublished - jan. 1 2020

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Vöröskői, K., Fogarasi, G., Böröcz, P., & Kóczy, L. (2020). Hierarchical fuzzy decision support methodology for dangerous goods packaging design. In Studies in Computational Intelligence (pp. 1-7). (Studies in Computational Intelligence; Vol. 819). Springer Verlag. https://doi.org/10.1007/978-3-030-16024-1_1