TITLE

GROUP FUZZY TOPSIS METHODOLOGY IN COMPUTER SECURITY SOFTWARE SELECTION

AUTHOR(S)
Goli, Davoud
PUB. DATE
April 2013
SOURCE
International Journal of Fuzzy Logic Systems;Apr2013, Vol. 3 Issue 2, p29
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In today's interconnected world, the risk of malwares is a major concern for users. Antivirus software is a device to prevent, discover, and eliminatemalwares such as, computer worm, trojan horses, computer viruses, spyware and adware. In the competitive IT environment, due to availability of many antivirus software and their diverse features evaluating them is an arguable and complicated issue for users which has a significant impact on the efficiency of computers defense systems. The anti-virus selection problem can be formulated as a multiple criteria decision making problem. This paper proposes an antivirus evaluation model for computer users based on group fuzzy TOPSIS. We study a real world case of antivirus software and define criteria for antivirus selection problem. Seven alternatives were selected from among the most popular antiviruses in the market and seven criteria were determined by the experts. The study is followed by the sensitivity analyses of the results which also gives valuable insights into the needs and solutions for different users in different conditions.
ACCESSION #
88093990

 

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