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Risk Analysis of Critical Infrastructures Using Fuzzy Copras

Author

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  • Morteza Yazdani
  • Ali Alidoosti
  • Edmundas Kazimieras Zavadskas

Abstract

Critical infrastructures play a significant role in countries because of the essentiality of nation security, public safety, socioeconomic security, and way of life. According to the importance of infrastructures, it is a necessity to analyze the potential risks to do not allow these risks be converted into events. The main purpose of this paper is to provide a developed framework with the aim to overcome limitations of the classical approach to build a more secure, safer, and more resilient critical infrastructures in order to develop, implement, control. The proposed framework extends conventional RAMCAP (Risk Analysis and Management for Critical Asset Protection) through introducing new parameters the effects on risk value. According to the complexity of problem and the inherent uncertainty, this research adopts the fuzzy COPRAS (COPRAS-F) as a fuzzy multi criteria decision making technique to determine the weights of each criterion and the importance of alternatives with respect to criteria. Case analysis is implemented to illustrate the capability and effectiveness of the model for ranking the risk of critical infrastructures. The proposed model demonstrates a significant improvement in comparison with conventional RAMCAP.

Suggested Citation

  • Morteza Yazdani & Ali Alidoosti & Edmundas Kazimieras Zavadskas, 2011. "Risk Analysis of Critical Infrastructures Using Fuzzy Copras," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 24(4), pages 27-40, January.
    • Handle: RePEc:taf:reroxx:v:24:y:2011:i:4:p:27-40
    DOI: 10.1080/1331677X.2011.11517478
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    Cited by:

    1. Ediz Atmaca & Esra Aktaş & Hafsa Nur Öztürk, 2023. "Evaluated Post-Disaster and Emergency Assembly Areas Using Multi-Criteria Decision-Making Techniques: A Case Study of Turkey," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    2. Aşkın Özdağoğlu & Gülin Zeynep Öztaş & Murat Kemal Keleş & Volkan Genç, 2021. "An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 9(2), pages 269-298, December.

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