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AHP–TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis

Complex & intelligent systems, 2019-06, Vol.5 (2), p.113-126 [Peer Reviewed Journal]

The Author(s) 2018 ;The Author(s) 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2199-4536 ;EISSN: 2198-6053 ;DOI: 10.1007/s40747-018-0087-7

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  • Title:
    AHP–TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis
  • Author: Ak, M. Fatih ; Gul, Muhammet
  • Subjects: Analytic hierarchy process ; Cardboard ; Complexity ; Computational Intelligence ; Computer networks ; Data Structures and Information Theory ; Decision making ; Engineering ; Fuzzy sets ; Original Article ; Risk analysis ; System effectiveness ; Technology utilization
  • Is Part Of: Complex & intelligent systems, 2019-06, Vol.5 (2), p.113-126
  • Description: Risk analysis (RA) contains several methodologies that object to ensure the protection and safety of occupational stakeholders. Multi attribute decision-making (MADM) is one of the most important RA methodologies that is applied to several areas from manufacturing to information technology. With the widespread use of computer networks and the Internet, information security has become very important. Information security is vital as institutions are mostly dependent on information, technology, and systems. This requires a comprehensive and effective implementation of information security RA. Analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) are commonly used MADM methods and recently used for RA. In this study, a new RA methodology is proposed based on AHP–TOPSIS integration extended with Pythagorean fuzzy sets. AHP strengthened by interval-valued Pythagorean fuzzy numbers is used to weigh risk parameters with expert judgment. Then, TOPSIS with Pythagorean fuzzy numbers is used to prioritize previously identified risks. A comparison of the proposed approach with three approaches (classical RA method, Pythagorean fuzzy VIKOR and Pythagorean fuzzy MOORA) is also provided. To illustrate the feasibility and practicality of the proposed approach, a case study for information security RA in corrugated cardboard sector is executed.
  • Publisher: Cham: Springer International Publishing
  • Language: English
  • Identifier: ISSN: 2199-4536
    EISSN: 2198-6053
    DOI: 10.1007/s40747-018-0087-7
  • Source: ROAD
    ProQuest Databases
    Springer OA刊
    DOAJ Directory of Open Access Journals
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