A fuzzy multi-criteria decision support for antivirus selection
Sudhir Kr Sharma, Dushyant Kumar, Ashish Kumar Rastogi, Reeta Tyagi · AIP conference proceedings · 2020
In last few decades the software industry has been developed drastically. The Organizations are fully dependent on the computer based information systems. Due to the advancement in the technology we need to secure our data from the intruders and viruses. Today the Antivirus is the necessity for the computers. The various types of antivirus softwares are available in the market according to the need of the Information Systems. An Antivirus is a critical for excellence in protection, security and performance. Antivirus selection involves identifying the right one on behalf of multiple attributes including cost, delivery time, and quality. Thus, antivirus selection inherently is a multi-criteria decision problem (MCD) and can be quite complex. To address the uncertainty in antivirus selection with multiple attributes, a number of researchers have employed fuzzy models. In order to choose the best antivirus that will satisfy our parameters we used the fuzzy analytic hierarchy process (AHP). Antivirus were rated on four attributes, protection, performance, cost, usability and support. Extent analysis was employed for defuzzification.