Risk Assessment of WtE Plants by Using a Modified Fuzzy SCEA Approach

Esra Ilbahar*, Selcuk Cebi, Cengiz Kahraman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


With the increasing sustainability concerns, energy production from waste has also come to the fore as well as recycling and reuse. Since there are various materials processed by waste to energy (WtE) plants and several types of equipment used in different processes, there are different sources of risks in these plants. It is important to determine and prioritize these risks in order to effectively manage them by taking the necessary precautions. However, the risk evaluation process mostly depends on expert judgments which contain uncertainty. Therefore, in this study, after risks in a WtE plant are categorized, interval-valued intuitionistic fuzzy (IVIF) analytic hierarchy process (AHP) is used to obtain probability, severity, frequency, and detectability weights of these risks. Then, the risks are prioritized by using these weights in safety and critical effect analysis (SCEA). It was revealed that the most critical risk is “inappropriate storage of waste load”, followed by “heat generated by failing bearings on various plant items” and “the dust generated when processing and sizing waste material”.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783031091759
Publication statusPublished - 2022
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey
Duration: 19 Jul 202221 Jul 2022

Publication series

NameLecture Notes in Networks and Systems
Volume505 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • AHP
  • Intuitionistic fuzzy sets
  • Risk assessment
  • Rule-based system
  • Waste to energy plant


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