Application of a Fuzzy MCDM Method to Select the Best Operating System for an Efficient Security-Aware Design of Embedded Systems

Fateh Boutekkouk
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Fateh Boutekkouk: ReLaCS2 Laboratory, University of Oum el Bouaghi, Algeria

International Journal of Applied Evolutionary Computation (IJAEC), 2021, vol. 12, issue 3, 1-20

Abstract: In this work, the authors present their solution to select the best operating system for an efficient security-aware design of embedded systems. This problem is formulated as a MCDM problem and solved using a hybrid approach combining fuzzy AHP and fuzzy VIKOR. This combination enables the authors to take profit of both methods. From AHP, they exploited the hierarchy and the pairwise comparison between criteria that leads to finding the importance (weight) of each criteria more consistently. On the other hand, from the VIKOR method, they leverage its power to compromise between conflictual criteria. Since they are dealing with unprecise and subjective advises, they opt for the fuzzy versions of the AHP and VIKOR methods dealing with triangular fuzzy numbers. They used fuzzy AHP to calculate weights of criteria which are served later as inputs for the fuzzy VIKOR method. The outcome of this work is to assist embedded designers to select the most appropriate embedded OS for efficient design of secure embedded systems.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:12:y:2021:i:3:p:1-20

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