Interval Type 2 Fuzzy Z-AHP and Interval Type 2 Fuzzy-Z WASPAS: Selection of Industry 4.0 Sub-Technologies

Onur Dogan*, Irem Ucal Sari, Basar Oztaysi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


Industry 4.0, indicated as the “Fourth Industrial Revolution”, has taken great attention in terms of the potential to reflect entire industries’ actions by transforming production to a fully automated and self-coordinated digital system. This transformation process necessitates a significant amount of investments and resources additionally, adaptation to the current operational technologies to new initiatives could be problematic. Besides that, companies have a limited budget to cope with the implementation costs of Industry 4.0 technologies. Thus, a systematic and extensive evaluation of the comparison between recent technologies and adaptable sub-technologies is required. This paper utilizes interval type 2 fuzzy z-scales in AHP and WASPAS methods to select one of the technology alternatives. Although there are many alternatives to Industry 4.0 sub-technologies, six of the most important are evaluated as alternatives according to related criteria. Alternatives are A1: Cloud-based ERP, A2: Real-time manufacturing tracking, A3: Robotic warehouse systems, A4: Virtualization in production environments, A5: Additive manufacturing for raw materials, and A6: Cyber security for safety manufacturing. Criteria are C1: Cost, C2: Risk level, C3: Resistance to change, C4: Complexity, C5: Effect on customer benefit. Under decision-makers’ evaluations, the results indicate that the most critical criterion is ‘Effect on customer benefit’. Decision-makers evaluate the six significant alternatives. It is hard to find essential options in practice. Therefore, ‘Virtualization in production environments’ and ‘Cloud-based ERP’ are the best two options, which have almost equal values.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages29
Publication statusPublished - 2023

Publication series

NameStudies in Fuzziness and Soft Computing
ISSN (Print)1434-9922
ISSN (Electronic)1860-0808

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.


  • Fuzzy MDCM
  • Fuzzy z-AHP
  • Fuzzy z-WASPAS
  • Industry 4.0
  • Interval type-2
  • Technology selection


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